BUILDING OUTLINE DELINEATION: FROM VERY HIGH RESOLUTION REMOTE SENSING IMAGERY TO POLYGONS WITH AN IMPROVED END-TO-END LEARNING FRAMEWORK

5 citations as recorded by crossref.

1. AGs-Unet: Building Extraction Model for High Resolution Remote Sensing Images Based on Attention Gates U Network M. Yu et al. https://doi.org/10.3390/s22082932
2. Robust Extraction of Vectorized Buildings via Bidirectional Tracing of Keypoints From Remotely Sensed Imagery Z. Shu et al. https://doi.org/10.1109/TGRS.2023.3324211
3. Benchmarking and scaling of deep learning models for land cover image classification I. Papoutsis et al. https://doi.org/10.1016/j.isprsjprs.2022.11.012
4. Building Footprint Extraction for Large-Scale Basemaps Using Very-High-Resolution Satellite Imagery Y. Hakim & F. Tsai https://doi.org/10.3390/buildings16030675
5. Polish Cadastre Modernization with Remotely Extracted Buildings from High-Resolution Aerial Orthoimagery and Airborne LiDAR D. Wierzbicki et al. https://doi.org/10.3390/rs13040611