THE ISPRS BENCHMARK ON URBAN OBJECT CLASSIFICATION AND 3D BUILDING RECONSTRUCTION

229 citations as recorded by crossref.

1. Multiscale and Multifeature Segmentation of High-Spatial Resolution Remote Sensing Images Using Superpixels with Mutual Optimal Strategy Z. Fu et al. 10.3390/rs10081289
2. IPCONV: Convolution with Multiple Different Kernels for Point Cloud Semantic Segmentation R. Zhang et al. 10.3390/rs15215136
3. Automatic representation and reconstruction of DBM from LiDAR data using Recursive Minimum Bounding Rectangle E. Kwak & A. Habib 10.1016/j.isprsjprs.2013.10.003
4. Matching Aerial Images to 3D Building Models Using Context-Based Geometric Hashing J. Jung et al. 10.3390/s16060932
5. Semantic Segmentation and Building Extraction from Airborne LiDAR Data with Multiple Return Using PointNet++ Y. Shin et al. 10.3390/app12041975
6. Mapping Rice Paddies in Complex Landscapes with Convolutional Neural Networks and Phenological Metrics S. Zhao et al. 10.1080/15481603.2019.1658960
7. Deep learning based computer vision under the prism of 3D point clouds: a systematic review K. Tychola et al. 10.1007/s00371-023-03237-7
8. Height estimation from single aerial imagery using contrastive learning based multi-scale refinement network W. Zhao et al. 10.1080/17538947.2023.2225881
9. Deep fusion of multi-view and multimodal representation of ALS point cloud for 3D terrain scene recognition N. Qin et al. 10.1016/j.isprsjprs.2018.03.011
10. Vision-Language Models in Remote Sensing: Current progress and future trends X. Li et al. 10.1109/MGRS.2024.3383473
11. Exploiting Remote Sensing Imagery for Vehicle Detection and Classification Using an Artificial Intelligence Technique M. Alajmi et al. 10.3390/rs15184600
12. Vehicle Instance Segmentation From Aerial Image and Video Using a Multitask Learning Residual Fully Convolutional Network L. Mou & X. Zhu 10.1109/TGRS.2018.2841808
13. Recent Advances and Perspectives in Deep Learning Techniques for 3D Point Cloud Data Processing Z. Ding et al. 10.3390/robotics12040100
14. A Multi-Step Fusion Network for Semantic Segmentation of High-Resolution Aerial Images Y. Yuan et al. 10.3390/s23115323
15. A DSM-Based Co-Occurrence Matrix for Semantic Classification W. Xia et al. 10.1109/LGRS.2020.3030401
16. A Remote Sensing Land Cover Classification Algorithm Based on Attention Mechanism X. Zhang et al. 10.1080/07038992.2021.1971961
17. Adaptive Multiscale Feature Extraction in a Distributed System for Semantic Classification of Airborne LiDAR Point Clouds S. Singh & J. Sreevalsan-Nair 10.1109/LGRS.2021.3099935
18. DSSM: A Deep Neural Network with Spectrum Separable Module for Multi-Spectral Remote Sensing Image Segmentation H. Zhu et al. 10.3390/rs14040818
19. Automated extraction of building instances from dual-channel airborne LiDAR point clouds H. Feng et al. 10.1016/j.jag.2022.103042
20. RID—Roof Information Dataset for Computer Vision-Based Photovoltaic Potential Assessment S. Krapf et al. 10.3390/rs14102299
21. Semantic Segmentation of Multispectral Images via Linear Compression of Bands: An Experiment Using RIT-18 Y. Cai et al. 10.3390/rs14112673
22. DALES Objects: A Large Scale Benchmark Dataset for Instance Segmentation in Aerial Lidar N. Singer & V. Asari 10.1109/ACCESS.2021.3094127
23. Automatic Building Extraction via Adaptive Iterative Segmentation With LiDAR Data and High Spatial Resolution Imagery Fusion S. Chen et al. 10.1109/JSTARS.2020.2992298
24. Elevation Estimation-Driven Building 3-D Reconstruction From Single-View Remote Sensing Imagery Y. Mao et al. 10.1109/TGRS.2023.3266477
25. LIE-DSM: Leveraging Single Remote Sensing Imagery to Enhance Digital Surface Model Resolution S. Zhang et al. 10.1109/TGRS.2024.3408793
26. An Uncertainty Descriptor for Quantitative Measurement of the Uncertainty of Remote Sensing Images Q. Zhang & P. Zhang 10.3390/rs11131560
27. Large-Scale Synthetic Urban Dataset for Aerial Scene Understanding Q. Gao et al. 10.1109/ACCESS.2020.2976686
28. Discrimination of residential and industrial buildings using LiDAR data and an effective spatial-neighbor algorithm in a typical urban industrial park L. Ma et al. 10.5721/EuJRS20154801
29. Diffusion Models and Pseudo-Change: A Transfer Learning-Based Change Detection in Remote Sensing Images J. Wang et al. 10.1109/TGRS.2024.3484526
30. Boundary Extraction Based on Dual Stream Deep Learning Model in High Resolution Remote Sensing Images Ö. Akçay et al. 10.28979/jarnas.911130
31. Vehicle Detection and Attribution from a Multi-Sensor Dataset Using a Rule-Based Approach Combined with Data Fusion L. Bowman et al. 10.3390/s23218811
32. Multilevel Unsupervised Domain Adaptation for Single-Stage Object Detection in Remote Sensing Images S. Luo et al. 10.1109/JSTARS.2024.3479224
33. Birds of a Feather Flock Together: Category-Divergence Guidance for Domain Adaptive Segmentation B. Yuan et al. 10.1109/TIP.2022.3162471
34. Spectral Clustering of Straight-Line Segments for Roof Plane Extraction From Airborne LiDAR Point Clouds C. Zhang et al. 10.1109/LGRS.2017.2785380
35. Weakly-Supervised Semantic Segmentation of ALS Point Clouds Based on Auxiliary Line and Plane Point Prediction J. Chen et al. 10.1109/JSTARS.2024.3469269
36. Transformer-based semantic segmentation for large-scale building footprint extraction from very-high resolution satellite images M. Gibril et al. 10.1016/j.asr.2024.03.002
37. FarSeg++: Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery Z. Zheng et al. 10.1109/TPAMI.2023.3296757
38. Looking for a needle in a haystack: Probability density based classification and reconstruction of dormers from 3D point clouds Y. Dehbi et al. 10.1111/tgis.12658
39. MDAS: a new multimodal benchmark dataset for remote sensing J. Hu et al. 10.5194/essd-15-113-2023
40. Hidden Path Selection Network for Semantic Segmentation of Remote Sensing Images K. Yang et al. 10.1109/TGRS.2022.3197334
41. Translation-aware semantic segmentation via conditional least-square generative adversarial networks M. Zhang & X. Hu 10.1117/1.JRS.11.042622
42. WHU-Stereo: A Challenging Benchmark for Stereo Matching of High-Resolution Satellite Images S. Li et al. 10.1109/TGRS.2023.3245205
43. Large-Scale and Refined Green Space Identification-Based Sustainable Urban Renewal Mode Assessment R. Guo et al. 10.1155/2020/2043019
44. Transferring Transformer-Based Models for Cross-Area Building Extraction From Remote Sensing Images C. Qiu et al. 10.1109/JSTARS.2022.3175200
45. GraSS: Contrastive Learning With Gradient-Guided Sampling Strategy for Remote Sensing Image Semantic Segmentation Z. Zhang et al. 10.1109/TGRS.2023.3336285
46. Semantic Segmentation-Based Building Footprint Extraction Using Very High-Resolution Satellite Images and Multi-Source GIS Data W. Li et al. 10.3390/rs11040403
47. Geographical Knowledge-Driven Representation Learning for Remote Sensing Images W. Li et al. 10.1109/TGRS.2021.3115569
48. Flexible building primitives for 3D building modeling B. Xiong et al. 10.1016/j.isprsjprs.2015.01.002
49. A Comparison of Deep Learning Methods for Airborne Lidar Point Clouds Classification N. Li et al. 10.1109/JSTARS.2021.3091389
50. CTMU-Net: An Improved U-Net for Semantic Segmentation of Remote-Sensing Images Based on the Combined Attention Mechanism Y. Li et al. 10.1109/JSTARS.2023.3326960
51. Simplified object-based deep neural network for very high resolution remote sensing image classification X. Pan et al. 10.1016/j.isprsjprs.2021.09.014
52. Semisupervised Semantic Segmentation With Certainty-Aware Consistency Training for Remote Sensing Imagery Y. Guo et al. 10.1109/JSTARS.2023.3255553
53. TEMPORARY REMOVAL: Aerial imagery for roof segmentation: A large-scale dataset towards automatic mapping of buildings Q. Chen et al. 10.1016/j.isprsjprs.2018.11.011
54. Algorithms for semantic segmentation of multispectral remote sensing imagery using deep learning R. Kemker et al. 10.1016/j.isprsjprs.2018.04.014
55. Dynamic and Adaptive Self-Training for Semi-Supervised Remote Sensing Image Semantic Segmentation J. Jin et al. 10.1109/TGRS.2024.3407142
56. WHU-Urban3D: An urban scene LiDAR point cloud dataset for semantic instance segmentation X. Han et al. 10.1016/j.isprsjprs.2024.02.007
57. Multiscale Feature Learning by Transformer for Building Extraction From Satellite Images X. Chen et al. 10.1109/LGRS.2022.3142279
58. A Deep Transfer Learning Framework Using Teacher–Student Structure for Land Cover Classification of Remote-Sensing Imagery X. Zhang et al. 10.1109/LGRS.2023.3312591
59. SegMind: Semisupervised Remote Sensing Image Semantic Segmentation With Masked Image Modeling and Contrastive Learning Method Z. Li et al. 10.1109/TGRS.2023.3321041
60. Using convolutional neural networks incorporating hierarchical active learning for target-searching in large-scale remote sensing images G. Xu et al. 10.1080/01431161.2020.1714774
61. -SIFT: SIFT feature extraction and matching for large images in large-scale aerial photogrammetry Y. Sun et al. 10.1016/j.isprsjprs.2014.02.001
62. A review of deep learning methods for semantic segmentation of remote sensing imagery X. Yuan et al. 10.1016/j.eswa.2020.114417
63. An Aerial Photogrammetry Benchmark Dataset for Point Cloud Segmentation and Style Translation M. Chen et al. 10.3390/rs16224240
64. Unsupervised Building Instance Segmentation of Airborne LiDAR Point Clouds for Parallel Reconstruction Analysis Y. Zhang et al. 10.3390/rs13061136
65. Novel Half-Spaces Based 3D Building Reconstruction Using Airborne LiDAR Data M. Bizjak et al. 10.3390/rs15051269
66. TOV: The Original Vision Model for Optical Remote Sensing Image Understanding via Self-Supervised Learning C. Tao et al. 10.1109/JSTARS.2023.3271312
67. Enhancing point cloud semantic segmentation in the data‐scarce domain of industrial plants through synthetic data F. Noichl et al. 10.1111/mice.13153
68. Remote Sensing-Based 3D Assessment of Landslides: A Review of the Data, Methods, and Applications H. Albanwan et al. 10.3390/rs16030455
69. Large-scale building height retrieval from single SAR imagery based on bounding box regression networks Y. Sun et al. 10.1016/j.isprsjprs.2021.11.024
70. Deep learning in remote sensing applications: A meta-analysis and review L. Ma et al. 10.1016/j.isprsjprs.2019.04.015
71. AMM-FuseNet: Attention-Based Multi-Modal Image Fusion Network for Land Cover Mapping W. Ma et al. 10.3390/rs14184458
72. Cross-modal remote sensing intelligent interpretation: method, data, and application K. FU et al. 10.1360/SSI-2023-0055
73. A Modeling and Measurement Approach for the Uncertainty of Features Extracted from Remote Sensing Images Q. Zhang et al. 10.3390/rs11161841
74. Unsupervised Single-Scene Semantic Segmentation for Earth Observation S. Saha et al. 10.1109/TGRS.2022.3174651
75. Semantic segmentation of 3D LiDAR data using deep learning: a review of projection-based methods A. Jhaldiyal & N. Chaudhary 10.1007/s10489-022-03930-5
76. R3-Net: A Deep Network for Multioriented Vehicle Detection in Aerial Images and Videos Q. Li et al. 10.1109/TGRS.2019.2895362
77. Deep-Learning-Based 3-D Surface Reconstruction—A Survey A. Farshian et al. 10.1109/JPROC.2023.3321433
78. Arbitrary-Shaped Building Boundary-Aware Detection With Pixel Aggregation Network X. Jiang et al. 10.1109/JSTARS.2020.3017934
79. Globe230k: A Benchmark Dense-Pixel Annotation Dataset for Global Land Cover Mapping Q. Shi et al. 10.34133/remotesensing.0078
80. Semantic Segmentation of Remote Sensing Images With Self-Supervised Multitask Representation Learning W. Li et al. 10.1109/JSTARS.2021.3090418
81. Post‐filtering with surface orientation constraints for stereo dense image matching X. Huang & R. Qin 10.1111/phor.12333
82. SDFCNv2: An Improved FCN Framework for Remote Sensing Images Semantic Segmentation G. Chen et al. 10.3390/rs13234902
83. Enhancing the ability of convolutional neural networks for remote sensing image segmentation using transformers M. Barr 10.1007/s00521-024-09743-6
84. RiSSNet: Contrastive Learning Network with a Relaxed Identity Sampling Strategy for Remote Sensing Image Semantic Segmentation H. Li et al. 10.3390/rs15133427
85. Robust point cloud classification based on multi-level semantic relationships for urban scenes Q. Zhu et al. 10.1016/j.isprsjprs.2017.04.022
86. Tackling Dual Gaps in Remote Sensing Segmentation: Task-Oriented Super-Resolution for Domain Adaptation E. Hong et al. 10.1109/ACCESS.2024.3509984
87. Dynamic Inversion Method of Calculating Large-Scale Urban Building Height Based on Cooperative Satellite Laser Altimetry and Multi-Source Optical Remote Sensing H. Xia et al. 10.3390/land13081120
88. Semantic Segmentation of Satellite Images for Landslide Detection Using Foreground-Aware and Multi-Scale Convolutional Attention Mechanism C. Yu et al. 10.3390/s24206539
89. Classification of Urban Building Type from High Spatial Resolution Remote Sensing Imagery Using Extended MRS and Soft BP Network J. Xie & J. Zhou 10.1109/JSTARS.2017.2686422
90. Symmetrical Dense-Shortcut Deep Fully Convolutional Networks for Semantic Segmentation of Very-High-Resolution Remote Sensing Images G. Chen et al. 10.1109/JSTARS.2018.2810320
91. Application of Deep Learning for Delineation of Visible Cadastral Boundaries from Remote Sensing Imagery S. Crommelinck et al. 10.3390/rs11212505
92. There Are No Data Like More Data: Datasets for deep learning in Earth observation M. Schmitt et al. 10.1109/MGRS.2023.3293459
93. Line matching based on planar homography for stereo aerial images Y. Sun et al. 10.1016/j.isprsjprs.2014.12.003
94. FALSE: False Negative Samples Aware Contrastive Learning for Semantic Segmentation of High-Resolution Remote Sensing Image Z. Zhang et al. 10.1109/LGRS.2022.3222836
95. Multiscale Cascaded Network for the Semantic Segmentation of High-Resolution Remote Sensing Images X. Zhang et al. 10.1080/07038992.2023.2255068
96. Exploiting Superpixel-Based Contextual Information on Active Learning for High Spatial Resolution Remote Sensing Image Classification J. Tang et al. 10.3390/rs15030715
97. Self-localization based on terrestrial and satellite semantics V. Balaska et al. 10.1016/j.engappai.2022.104824
98. Deep built-structure counting in satellite imagery using attention based re-weighting A. Shakeel et al. 10.1016/j.isprsjprs.2019.03.014
99. LiSurveying: A high-resolution TLS-LiDAR benchmark G. Lugo et al. 10.1016/j.cag.2022.07.010
100. Linear SFM: A hierarchical approach to solving structure-from-motion problems by decoupling the linear and nonlinear components L. Zhao et al. 10.1016/j.isprsjprs.2018.04.007
101. A survey on the utilization of Superpixel image for clustering based image segmentation B. Sasmal & K. Dhal 10.1007/s11042-023-14861-9
102. An Automatic Hierarchical Clustering Method for the LiDAR Point Cloud Segmentation of Buildings via Shape Classification and Outliers Reassignment F. Wang et al. 10.3390/rs15092432
103. Decouple and weight semi-supervised semantic segmentation of remote sensing images W. Huang et al. 10.1016/j.isprsjprs.2024.04.010
104. Improved Deep Learning-Based Vehicle Detection for Urban Applications Using Remote Sensing Imagery M. Ragab et al. 10.3390/rs15194747
105. Classification of image matching point clouds over an urban area T. Tran et al. 10.1080/01431161.2018.1452069
106. A random forest classifier based on pixel comparison features for urban LiDAR data C. Wang et al. 10.1016/j.isprsjprs.2018.12.009
107. MARE: Self-Supervised Multi-Attention REsu-Net for Semantic Segmentation in Remote Sensing V. Marsocci et al. 10.3390/rs13163275
108. SensatUrban: Learning Semantics from Urban-Scale Photogrammetric Point Clouds Q. Hu et al. 10.1007/s11263-021-01554-9
109. Continual Barlow Twins: Continual Self-Supervised Learning for Remote Sensing Semantic Segmentation V. Marsocci & S. Scardapane 10.1109/JSTARS.2023.3280029
110. Semantic Segmentation of Remote-Sensing Imagery Using Heterogeneous Big Data: International Society for Photogrammetry and Remote Sensing Potsdam and Cityscape Datasets A. Song & Y. Kim 10.3390/ijgi9100601
111. Multi-temporal urban semantic understanding based on GF-2 remote sensing imagery: from tri-temporal datasets to multi-task mapping S. Shi et al. 10.1080/17538947.2023.2246445
112. Fully-weighted HGNN: Learning efficient non-local relations with hypergraph in aerial imagery Y. Tian et al. 10.1016/j.isprsjprs.2022.07.001
113. Automatic Target Detection from Satellite Imagery Using Machine Learning A. Tahir et al. 10.3390/s22031147
114. Context-based automatic reconstruction and texturing of 3D urban terrain for quick-response tasks D. Bulatov et al. 10.1016/j.isprsjprs.2014.02.016
115. Comparative analysis of deep learning based building extraction methods with the new VHR Istanbul dataset T. Bakirman et al. 10.1016/j.eswa.2022.117346
116. MSANet: an improved semantic segmentation method using multi-scale attention for remote sensing images X. Zhang et al. 10.1080/2150704X.2022.2142075
117. Bayesian U-Net: Estimating Uncertainty in Semantic Segmentation of Earth Observation Images C. Dechesne et al. 10.3390/rs13193836
118. CUS3D: A New Comprehensive Urban-Scale Semantic-Segmentation 3D Benchmark Dataset L. Gao et al. 10.3390/rs16061079
119. Stereo Dense Image Matching by Adaptive Fusion of Multiple-Window Matching Results Y. Han et al. 10.3390/rs12193138
120. Beyond single receptive field: A receptive field fusion-and-stratification network for airborne laser scanning point cloud classification Y. Mao et al. 10.1016/j.isprsjprs.2022.03.019
121. Change detection on LOD 2 building models with very high resolution spaceborne stereo imagery R. Qin 10.1016/j.isprsjprs.2014.07.007
122. A Novel Multi-Scale Attention PFE-UNet for Forest Image Segmentation B. Zhang et al. 10.3390/f12070937
123. Multiscale Semantic Fusion-Guided Fractal Convolutional Object Detection Network for Optical Remote Sensing Imagery T. Zhang et al. 10.1109/TGRS.2021.3108476
124. Unsupervised Domain Adaptation Semantic Segmentation of High-Resolution Remote Sensing Imagery With Invariant Domain-Level Prototype Memory J. Zhu et al. 10.1109/TGRS.2023.3243042
125. Geographical Supervision Correction for Remote Sensing Representation Learning W. Li et al. 10.1109/TGRS.2022.3202499
126. An Open Benchmark Dataset for Forest Characterization from Sentinel-1 and -2 Time Series S. Hauser et al. 10.3390/rs16030488
127. Geometric Positioning Verification of Spaceborne Photon-Counting Lidar Data Based on Terrain Feature Identification C. Wu et al. 10.1109/JSTARS.2024.3479315
128. Asymmetric Cascade Fusion Network for Building Extraction S. Chan et al. 10.1109/TGRS.2023.3306018
129. A comprehensive overview of deep learning techniques for 3D point cloud classification and semantic segmentation S. Sarker et al. 10.1007/s00138-024-01543-1
130. Automatic Detection and Segmentation of Columns in As-Built Buildings from Point Clouds L. Díaz-Vilariño et al. 10.3390/rs71115651
131. ClassHyPer: ClassMix-Based Hybrid Perturbations for Deep Semi-Supervised Semantic Segmentation of Remote Sensing Imagery Y. He et al. 10.3390/rs14040879
132. Capturing Small Objects and Edges Information for Cross-Sensor and Cross-Region Land Cover Semantic Segmentation in Arid Areas P. Yuan et al. 10.1109/JSTARS.2022.3232409
133. Improved Faster R-CNN With Multiscale Feature Fusion and Homography Augmentation for Vehicle Detection in Remote Sensing Images H. Ji et al. 10.1109/LGRS.2019.2909541
134. The Eyes of the Gods: A Survey of Unsupervised Domain Adaptation Methods Based on Remote Sensing Data M. Xu et al. 10.3390/rs14174380
135. Multiprototype Relational Network for Few-Shot ALS Point Cloud Semantic Segmentation by Transferring Knowledge From Photogrammetric Point Clouds M. Dai et al. 10.1109/TGRS.2024.3364181
136. CDEST: Class Distinguishability-Enhanced Self-Training Method for Adopting Pre-Trained Models to Downstream Remote Sensing Image Semantic Segmentation M. Zhang et al. 10.3390/rs16071293
137. A deep learning method for building height estimation using high-resolution multi-view imagery over urban areas: A case study of 42 Chinese cities Y. Cao & X. Huang 10.1016/j.rse.2021.112590
138. Urban Building Classification (UBC) V2—A Benchmark for Global Building Detection and Fine-Grained Classification From Satellite Imagery X. Huang et al. 10.1109/TGRS.2023.3311093
139. Land Cover Classification Using SegNet with Slope, Aspect, and Multidirectional Shaded Relief Images Derived from Digital Surface Model D. Lee et al. 10.1155/2020/8825509
140. EnhancedNet, an End-to-End Network for Dense Disparity Estimation and its Application to Aerial Images J. Kang et al. 10.1007/s41064-024-00307-w
141. Energy-Based Models in Earth Observation: From Generation to Semisupervised Learning J. Castillo-Navarro et al. 10.1109/TGRS.2021.3126428
142. CSF-Net: Color Spectrum Fusion Network for Semantic Labeling of Airborne Laser Scanning Point Cloud J. Li et al. 10.1109/JSTARS.2021.3133602
143. Self-Training-Based Unsupervised Domain Adaptation for Object Detection in Remote Sensing Imagery S. Luo et al. 10.1109/TGRS.2024.3457789
144. Scattered Mountainous Area Building Extraction From an Open Satellite Imagery Dataset S. Deng et al. 10.1109/LGRS.2023.3247620
145. DGFNet: Dual Gate Fusion Network for Land Cover Classification in Very High-Resolution Images Y. Guo et al. 10.3390/rs13183755
146. Deep-Learning-Based Semantic Segmentation for Remote Sensing: A Bibliometric Literature Review K. Hasan et al. 10.1109/JSTARS.2023.3328315
147. SNLRUX++ for Building Extraction From High-Resolution Remote Sensing Images Y. Lei et al. 10.1109/JSTARS.2021.3135705
148. DIAL: Deep Interactive and Active Learning for Semantic Segmentation in Remote Sensing G. Lenczner et al. 10.1109/JSTARS.2022.3166551
149. 3D reconstruction of building surface from airborne LiDAR point clouds based on improved structural constraints R. Zhao et al. 10.1080/01431161.2024.2365815
150. Advancements in point cloud-based 3D defect classification and segmentation for industrial systems: A comprehensive survey A. Rani et al. 10.1016/j.inffus.2024.102575
151. An Automatic and Threshold-Free Performance Evaluation System for Building Extraction Techniques From Airborne LIDAR Data M. Awrangjeb & C. Fraser 10.1109/JSTARS.2014.2318694
152. Three-Dimensional Reconstruction of Building Roofs from Airborne LiDAR Data Based on a Layer Connection and Smoothness Strategy Y. Wang et al. 10.3390/rs8050415
153. Advancing perturbation space expansion based on information fusion for semi-supervised remote sensing image semantic segmentation L. Zhou et al. 10.1016/j.inffus.2024.102830
154. Automated 3D Scene Reconstruction from Open Geospatial Data Sources: Airborne Laser Scanning and a 2D Topographic Database L. Zhu et al. 10.3390/rs70606710
155. Deep point embedding for urban classification using ALS point clouds: A new perspective from local to global R. Huang et al. 10.1016/j.isprsjprs.2020.02.020
156. An Unsupervised, Open-Source Workflow for 2D and 3D Building Mapping From Airborne LiDAR Data H. Song & J. Jung 10.1109/JSTARS.2023.3329773
157. Learning Dual Multi-Scale Manifold Ranking for Semantic Segmentation of High-Resolution Images M. Zhang et al. 10.3390/rs9050500
158. Small Object Detection in Remote Sensing Images with Residual Feature Aggregation-Based Super-Resolution and Object Detector Network S. Bashir & Y. Wang 10.3390/rs13091854
159. Domain adaptation method for extracting buildings from remote sensing images using dual contrastive learning C. He & X. Jing 10.1117/1.JRS.18.034517
160. Parameter-Free Half-Spaces Based 3D Building Reconstruction Using Ground and Segmented Building Points from Airborne LiDAR Data with 2D Outlines M. Bizjak et al. 10.3390/rs13214430
161. A Label-Constraint Building Roof Detection Method From Airborne LiDAR Point Clouds J. Yang et al. 10.1109/LGRS.2020.2999818
162. Scene Compliant Trajectory Forecast With Agent-Centric Spatio-Temporal Grids D. Ridel et al. 10.1109/LRA.2020.2974393
163. A New Semantic Segmentation Method for Remote Sensing Images Integrating Coordinate Attention and SPD-Conv Z. Yang et al. 10.3390/sym15051037
164. RS-Dseg: semantic segmentation of high-resolution remote sensing images based on a diffusion model component with unsupervised pretraining Z. Luo et al. 10.1038/s41598-024-69022-1
165. Choosing an appropriate training set size when using existing data to train neural networks for land cover segmentation H. Ning et al. 10.1080/19475683.2020.1803402
166. Hierarchical object detection for very high-resolution satellite images Z. Wu et al. 10.1016/j.asoc.2021.107885
167. EXPLOITING REMOTE SENSING IMAGERY FOR VEHICLE DETECTION AND CLASSIFICATION USING ROBUST COMPETITIVE ALGORITHM WITH DEEP CONVOLUTIONAL NEURAL NETWORK K. OTHMAN et al. 10.1142/S0218348X25400031
168. An intelligent water drop algorithm with deep learning driven vehicle detection and classification T. Vaiyapuri et al. 10.3934/math.2024557
169. Inherit With Distillation and Evolve With Contrast: Exploring Class Incremental Semantic Segmentation Without Exemplar Memory D. Zhao et al. 10.1109/TPAMI.2023.3273574
170. Super resolution of laser range data based on image-guided fusion and dense matching X. Huang et al. 10.1016/j.isprsjprs.2018.07.001
171. Real-time segmentation of remote sensing images with a combination of clustering and Bayesian approaches Y. Song & J. Qu 10.1007/s11554-020-00990-z
172. Pretrain a Remote Sensing Foundation Model by Promoting Intra-Instance Similarity X. An et al. 10.1109/TGRS.2024.3469568
173. EOVNet: Earth-Observation Image-Based Vehicle Detection Network Z. Gao et al. 10.1109/JSTARS.2019.2933501
174. Weakly-supervised domain adaptation for built-up region segmentation in aerial and satellite imagery J. Iqbal & M. Ali 10.1016/j.isprsjprs.2020.07.001
175. Enhancing satellite semantic maps with ground-level imagery V. Balaska et al. 10.1016/j.robot.2021.103760
176. Segment-before-Detect: Vehicle Detection and Classification through Semantic Segmentation of Aerial Images N. Audebert et al. 10.3390/rs9040368
177. CrossMatch: Cross-View Matching for Semi-Supervised Remote Sensing Image Segmentation R. Liu et al. 10.1109/TGRS.2024.3507050
178. Building footprint extraction based on radiometric and geometric constraints in airborne oblique images J. Xiao & M. Gerke 10.1080/19479832.2015.1050073
179. Results of the ISPRS benchmark on urban object detection and 3D building reconstruction F. Rottensteiner et al. 10.1016/j.isprsjprs.2013.10.004
180. A building extraction approach for Airborne Laser Scanner data utilizing the Object Based Image Analysis paradigm I. Tomljenovic et al. 10.1016/j.jag.2016.06.007
181. Cycle graph analysis for 3D roof structure modelling: Concepts and performance G. Perera & H. Maas 10.1016/j.isprsjprs.2014.04.017
182. GraNet: Global relation-aware attentional network for semantic segmentation of ALS point clouds R. Huang et al. 10.1016/j.isprsjprs.2021.04.017
183. Fuzzy wavelet neural network driven vehicle detection on remote sensing imagery M. Ahmed et al. 10.1016/j.compeleceng.2023.108765
184. True orthophoto generation using line segment matches Q. Wang et al. 10.1111/phor.12229
185. Comprehensive survey of deep learning in remote sensing: theories, tools, and challenges for the community J. Ball et al. 10.1117/1.JRS.11.042609
186. DE-Net: Deep Encoding Network for Building Extraction from High-Resolution Remote Sensing Imagery H. Liu et al. 10.3390/rs11202380
187. Object-Based Semi-Supervised Spatial Attention Residual UNet for Urban High-Resolution Remote Sensing Image Classification Y. Lu et al. 10.3390/rs16081444
188. Robust Normal Estimation for 3D LiDAR Point Clouds in Urban Environments R. Zhao et al. 10.3390/s19051248
189. Deep Learning for 3D Point Clouds: A Survey Y. Guo et al. 10.1109/TPAMI.2020.3005434
190. Deep Attention and Multi-Scale Networks for Accurate Remote Sensing Image Segmentation X. Qi et al. 10.1109/ACCESS.2020.3015587
191. Multi-modal land cover mapping of remote sensing images using pyramid attention and gated fusion networks Q. Liu et al. 10.1080/01431161.2022.2098078
192. HMSM-Net: Hierarchical multi-scale matching network for disparity estimation of high-resolution satellite stereo images S. He et al. 10.1016/j.isprsjprs.2022.04.020
193. Lidar Point Cloud Compression, Processing and Learning for Autonomous Driving R. Abbasi et al. 10.1109/TITS.2022.3167957
194. Semi-supervised bidirectional alignment for Remote Sensing cross-domain scene classification W. Huang et al. 10.1016/j.isprsjprs.2022.11.013
195. LuoJiaAI: A cloud-based artificial intelligence platform for remote sensing image interpretation Z. Zhang et al. 10.1080/10095020.2022.2162980
196. Roof planes detection via a second-order variational model B. Benciolini et al. 10.1016/j.isprsjprs.2018.01.022
197. Fusion of airborne laserscanning point clouds and images for supervised and unsupervised scene classification M. Gerke & J. Xiao 10.1016/j.isprsjprs.2013.10.011
198. Semantic Segmentation With Attention Mechanism for Remote Sensing Images Q. Zhao et al. 10.1109/TGRS.2021.3085889
199. Land Use and Land Cover Mapping Using Deep Learning Based Segmentation Approaches and VHR Worldview-3 Images E. Sertel et al. 10.3390/rs14184558
200. Building Outline Extraction Using a Heuristic Approach Based on Generalization of Line Segments T. Partovi et al. 10.1109/JSTARS.2016.2611861
201. PIF-Net: A Deep Point-Image Fusion Network for Multimodality Semantic Segmentation of Very High-Resolution Imagery and Aerial Point Cloud Z. Guo et al. 10.1109/TGRS.2023.3342477
202. Building Corner Detection in Aerial Images with Fully Convolutional Networks W. Song et al. 10.3390/s19081915
203. Spatialising uncertainty in image segmentation using weakly supervised convolutional neural networks: a case study from historical map processing J. Uhl et al. 10.1049/iet-ipr.2018.5484
204. Features, Color Spaces, and Boosting: New Insights on Semantic Classification of Remote Sensing Images P. Tokarczyk et al. 10.1109/TGRS.2014.2321423
205. Morphological path filtering at the region scale for efficient and robust road network extraction from satellite imagery L. Courtrai & S. Lefèvre 10.1016/j.patrec.2016.05.014
206. Arbitrary-angle bounding box based location for object detection in remote sensing image F. Sun et al. 10.1080/22797254.2021.1880975
207. Vegetation Land Use/Land Cover Extraction From High-Resolution Satellite Images Based on Adaptive Context Inference Z. Zhan et al. 10.1109/ACCESS.2020.2969812
208. FAIR1M: A benchmark dataset for fine-grained object recognition in high-resolution remote sensing imagery X. Sun et al. 10.1016/j.isprsjprs.2021.12.004
209. A Deep Neural Network Using Double Self-Attention Mechanism for ALS Point Cloud Segmentation L. Yu et al. 10.1109/ACCESS.2022.3158438
210. Learning Digital Terrain Models From Point Clouds: ALS2DTM Dataset and Rasterization-Based GAN H. Le et al. 10.1109/JSTARS.2022.3182030
211. Neural-logic multi-agent system for flood event detection A. Rafanelli et al. 10.3233/IA-230004
212. Contextual classification of lidar data and building object detection in urban areas J. Niemeyer et al. 10.1016/j.isprsjprs.2013.11.001
213. Improving LiDAR classification accuracy by contextual label smoothing in post-processing N. Li et al. 10.1016/j.isprsjprs.2018.11.022
214. Small Object Detection in Remote Sensing Images Based on Super-Resolution with Auxiliary Generative Adversarial Networks L. Courtrai et al. 10.3390/rs12193152
215. Active Shapes for Automatic 3D Modeling of Buildings B. Sirmacek & R. Lindenbergh 10.3390/jimaging1010156
216. Classification of airborne 3D point clouds regarding separation of vegetation in complex environments D. Bulatov et al. 10.1364/AO.422973
217. Masked Topology Convolutional Network for Classification and Segmentation of Remote Sensing Images F. Wang et al. 10.1109/TGRS.2024.3374097
218. Building Extraction from Airborne Laser Scanning Data: An Analysis of the State of the Art I. Tomljenovic et al. 10.3390/rs70403826
219. Self-constructing graph neural networks to model long-range pixel dependencies for semantic segmentation of remote sensing images Q. Liu et al. 10.1080/01431161.2021.1936267
220. 3D Lidar Point Cloud Segmentation for Automated Driving R. Abbasi et al. 10.1109/MITS.2023.3325854
221. Large-Scale 3-D Building Reconstruction in LoD2 From ALS Point Clouds G. Kong et al. 10.1109/LGRS.2024.3514514
222. A Hierarchical Building Detection Method for Very High Resolution Remotely Sensed Images Combined with DSM Using Graph Cut Optimization R. Qin & W. Fang 10.14358/PERS.80.9.873
223. Confidence-Weighted Dual-Teacher Networks With Biased Contrastive Learning for Semi-Supervised Semantic Segmentation in Remote Sensing Images Y. Xin et al. 10.1109/TGRS.2024.3376352
224. Automatic Segmentation of Raw LIDAR Data for Extraction of Building Roofs M. Awrangjeb & C. Fraser 10.3390/rs6053716
225. LASDU: A Large-Scale Aerial LiDAR Dataset for Semantic Labeling in Dense Urban Areas Z. Ye et al. 10.3390/ijgi9070450
226. Self-Supervised Remote Sensing Feature Learning: Learning Paradigms, Challenges, and Future Works C. Tao et al. 10.1109/TGRS.2023.3276853
227. Integrating Gate and Attention Modules for High-Resolution Image Semantic Segmentation Z. Zheng et al. 10.1109/JSTARS.2021.3071353
228. ESDINet: Efficient Shallow-Deep Interaction Network for Semantic Segmentation of High-Resolution Aerial Images X. Zhang et al. 10.1109/TGRS.2024.3351437
229. A new weakly supervised approach for ALS point cloud semantic segmentation P. Wang & W. Yao 10.1016/j.isprsjprs.2022.04.016