DEEP NEURAL NETWORKS FOR ABOVE-GROUND DETECTION IN VERY HIGH SPATIAL RESOLUTION DIGITAL ELEVATION MODELS

8 citations as recorded by crossref.

1. Multi-modal deep learning for landform recognition L. Du et al. 10.1016/j.isprsjprs.2019.09.018
2. Global Partitioning Elevation Normalization Applied to Building Footprint Prediction A. Fafard et al. 10.1109/JSTARS.2020.3002502
3. Robust Object-Based Multipass InSAR Deformation Reconstruction J. Kang et al. 10.1109/TGRS.2017.2684424
4. Generating Elevation Surface from a Single RGB Remotely Sensed Image Using Deep Learning E. Panagiotou et al. 10.3390/rs12122002
5. Deep convolutional neural networks for building extraction from orthoimages and dense image matching point clouds E. Maltezos et al. 10.1117/1.JRS.11.042620
6. Optimized building extraction from high-resolution satellite imagery using deep learning R. Raghavan et al. 10.1007/s11042-022-13493-9
7. A Proposed Merging Methods of Digital Elevation Model Based on Artificial Neural Network and Interpolation Techniques for Improved Accuracy M. Alemam et al. 10.2478/arsa-2023-0009
8. Extracting built-up areas from TerraSAR-X data using object-oriented classification method S. Wang & Z. Sun 10.1088/1755-1315/57/1/012036