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...

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Bibliographic Details
Main Authors: Chen Jun, Yu Zhengyang, Yang Cunjian
Format: Article
Language:English
Published: De Gruyter 2022-12-01
Series:Open Geosciences
Subjects:
Online Access:https://doi.org/10.1515/geo-2022-0393