A Domain Adaptation Method for Land Use Classification Based on Improved HR-Net

In recent years, the recognition accuracy of semantic segmentation model on natural images can yield a very high level. Thus, it is of great significance to utilize semantic segmentation algorithm to obtain land use classification with remote sensing images. However, due to the large differences bet...

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Veröffentlicht in:	IEEE transactions on geoscience and remote sensing 2023-01, Vol.61, p.1-1
Hauptverfasser:	Zheng, Zezhong, Yu, Shuang, Zhu, Mingcang, Jiang, Shaobin, He, Yong, Peng, Qingjun, Liu, Qiang, Jiang, Ling, Li, Pengshan
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptation Adaptation models Algorithms Classification Classification algorithms Domain adaptation Domains generative adversarial network Image processing Image segmentation improved HR-Net Land use Land use classification Mathematical models Object recognition Remote sensing Semantic segmentation Semantics Spatial resolution Training
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