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EXTRACTION OF BUILT-UP AREAS USING CONVOLUTIONAL NEURAL NETWORKS AND TRANSFER LEARNING FROM SENTINEL-2 SATELLITE IMAGES
Built-up Area Extraction Convolutional Neural Networks Deep Learning Sentinel-2 Images Transfer Learning
2018/5/11
With rapid globalization, the extent of built-up areas is continuously increasing. Extraction of features for classifying built-up areas that are more robust and abstract is a leading research topic f...
RESERCH ON SPATIAL AND TEMPORAL DISTRIBUTION OF COLOR STEEL BUILDING BASED ON MULTI-SOURCE HIGH-RESOLUTION SATELLITE IMAGERY
Color Steel Building High-resolution Satellite Imagery Spatial and Temporal Distribution Urban Space Form Coupling Relationship
2018/5/16
As representative vulnerable regions of the city, dense distribution areas of temporary color steel building are a major target for control of fire risks, illegal buildings, environmental supervision,...
URBAN BUILT-UP AREA EXTRACTION AND APPLICATION BASED ON GF-2 SATELLITE DATA
GF-2 satellite object-oriented method built-up area Shennongjia
2018/5/16
GF-2 satellite was launched in China on August 19, 2014. It has wide potential applications with the spatial resolution of around 1 meter. In this paper, urban built-up area was extracted and classifi...