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Woodland Segmentation of Gaofen-6 Remote Sensing Images Based on Deep Learning., , , и . IGARSS, стр. 5409-5412. IEEE, (2021)TChange: A Hybrid Transformer-CNN Change Detection Network., , , , , и . Remote. Sens., 15 (5): 1219 (марта 2023)Parcel-Based Change Detection in Land-Use Maps by Adopting the Holistic Feature., , , , , , , , и . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 7 (8): 3482-3490 (2014)Infrared Attention Network for Woodland Segmentation Using Multispectral Satellite Images., , , , и . IEEE Trans. Geosci. Remote. Sens., (2022)Practical Bottom-up Golf Course Detection Using Multispectral Remote Sensing Imagery., , , , и . ICIG (2), том 10667 из Lecture Notes in Computer Science, стр. 552-559. Springer, (2017)Vehicles detection using GF-2 imagery based on watershed image segmentation., , , , , , , и . IGARSS, стр. 3758-3761. IEEE, (2016)A hybrid land-use mapping approach based on multi-scale spatial context., , , , , и . IGARSS, стр. 771-774. IEEE, (2016)Continuous Change Detection and Classification Using Hidden Markov Model: A Case Study for Monitoring Urban Encroachment onto Farmland in Beijing., , , , , , , , и . Remote. Sens., 7 (11): 15318-15339 (2015)Learning Color Distributions from Bitemporal Remote Sensing Images to Update Existing Building Footprints., , , , , и . Remote. Sens., 14 (22): 5851 (2022)MECA-Net: A MultiScale Feature Encoding and Long-Range Context-Aware Network for Road Extraction from Remote Sensing Images., , , , , , , и . Remote. Sens., 14 (21): 5342 (2022)