Key point extraction method for spatial objects in high-resolution remote sensing images based on multi-hot cross-entropy loss
Extracting spatial objects and their key points from remote sensing images has attracted great attention of worldwide researchers in intelligent machine perception of the Earth’s surface. However, the key points of spatial objects (KPSOs) extracted by the conventional mask region-convolution neural...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
De Gruyter
2022-12-01
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Series: | Open Geosciences |
Subjects: | |
Online Access: | https://doi.org/10.1515/geo-2022-0393 |