SUPERPIXEL-BASED UNSUPERVISED CHANGE DETECTION USING MULTI-DIMENSIONAL CHANGE VECTOR ANALYSIS AND SVM-BASED CLASSIFICATION

17 citations as recorded by crossref.

1. The Outlining of Agricultural Plots Based on Spatiotemporal Consensus Segmentation A. Garcia-Pedrero et al. https://doi.org/10.3390/rs10121991
2. Menderes ilçesindeki orman yangınının süperpiksel bölütleme temelli arama yöntemiyle tespiti A. KARACA & M. GÜLLÜ https://doi.org/10.17341/gazimmfd.460503
3. Superpixel-based unsupervised corrosion detection in steel sheet pile walls using visible and thermal images T. Hagiwara & T. Suzuki https://doi.org/10.1007/s10333-026-01070-x
4. A Refined Method of High-Resolution Remote Sensing Change Detection Based on Machine Learning for Newly Constructed Building Areas H. Wang et al. https://doi.org/10.3390/rs13081507
5. A PCA-PD fusion method for change detection in remote sensing multi temporal images S. Achour et al. https://doi.org/10.1080/10106049.2020.1713228
6. Brain tumor detection in MR image using superpixels, principal component analysis and template based K-means clustering algorithm M. Islam et al. https://doi.org/10.1016/j.mlwa.2021.100044
7. Diagnostic Analysis on Change Vector Analysis Methods for LCCD Using Remote Sensing Images L. ZhiYong et al. https://doi.org/10.1109/JSTARS.2021.3115481
8. Patch-Based Change Detection Method for SAR Images with Label Updating Strategy Y. Shu et al. https://doi.org/10.3390/rs13071236
9. The Use of TERRA-ASTER Satellite for Landslide Detection F. Vecchiotti et al. https://doi.org/10.3390/geosciences11060258
10. Domain adaptation for unsupervised change detection of multisensor multitemporal remote-sensing images M. Farahani & A. Mohammadzadeh https://doi.org/10.1080/01431161.2019.1711239
11. Fast PET Scan Tumor Segmentation Using Superpixels, Principal Component Analysis and K-Means Clustering Y. Hagos et al. https://doi.org/10.3390/mps1010007
12. Deep change feature analysis network for observing changes of land use or natural environment J. Shi et al. https://doi.org/10.1016/j.scs.2021.102760
13. TMLNet: Triad Multitask Learning Network for multiobjective based change detection A. Chouhan et al. https://doi.org/10.1016/j.neucom.2024.128080
14. Urban Land-Cover Classification Using Side-View Information from Oblique Images C. Xiao et al. https://doi.org/10.3390/rs12030390
15. Change Detection in Multitemporal High Spatial Resolution Remote-Sensing Images Based on Saliency Detection and Spatial Intuitionistic Fuzzy C-Means Clustering L. Huang et al. https://doi.org/10.1155/2020/2725186
16. Mapping Roofing with Asbestos-Containing Material by Using Remote Sensing Imagery and Machine Learning-Based Image Classification: A State-of-the-Art Review M. Abbasi et al. https://doi.org/10.3390/su14138068
17. Semisupervised Change Detection Based on Bihierarchical Feature Aggregation and Extraction Network M. Zhang et al. https://doi.org/10.1109/TNNLS.2023.3242075