BUILDING FOOTPRINT EXTRACTION FROM HIGH RESOLUTION SATELLITE IMAGERY USING SEGMENTATION

10 citations as recorded by crossref.

1. Semantic Segmentation-Based Building Extraction in Urban Area Using Memory-Efficient Residual Dilated Convolutional Network A. Ramalingam et al. 10.1007/s13369-023-08593-z
2. A Method for Fully Automatic Building Footprint Extraction From Remote Sensing Images J. Xiong et al. 10.1080/07038992.2022.2103397
3. Mapping Buildings from Semi-Informal Settlements Using Non-Parametric Classifiers: A Case of Old Naledi W. Mpoeleng et al. 10.54203/jceu.2024.14
4. Building Extraction for Urban Infrastructure Mapping Using Deep Neural Networks and High-Resolution Remote Sensing Data S. Sharma et al. 10.1007/s12524-025-02132-z
5. Relative performance of super-resolved Sentinel-2 and Copernicus VHR images in mapping built-up areas and building footprints using deep learning M. Debella-Gilo 10.1080/22797254.2025.2517381
6. Extraction of Canal Distribution Information Based on UAV Remote Sensing System and Object-Oriented Method X. Huo et al. 10.3390/agriculture14111863
7. Augmenting reality in the tasks of classifying objects in aerospace images A. Kuchuganov et al. 10.1088/1742-6596/1582/1/012049
8. Detecting and Segmenting Disaster-Affected Buildings Using an Adaptive Network with Atrous Attention Modules for Enhanced Post-Disaster Assessment A. Şener & B. Ergen 10.1007/s12524-025-02265-1
9. An automated system for 2D building detection from UAV-based geospatial datasets A. Elaksher et al. 10.1016/j.optlaseng.2024.108602
10. Recognition and extraction of high-resolution satellite remote sensing image buildings based on deep learning Y. Zeng et al. 10.1007/s00521-021-06027-1