Category-sensitive semi-supervised semantic segmentation framework for land-use/land-cover mapping with optical remote sensing images

High-quality land-use/land-cover mapping with optical remote sensing images yet presents significant work. Even though fully convolutional semantic segmentation models have recently contributed to popular solutions, the lack of annotation data may lead to severe degradations in their inference perfo...

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Principais autores:	Jifa Chen, Gang Chen, Li Zhang, Min Huang, Jin Luo, Mingjun Ding, Yong Ge
Format:	Artigo
Jezik:	Inglês
Izdano:	Elsevier 2024-11-01
Serija:	International Journal of Applied Earth Observations and Geoinformation
Teme:	Land-use/land-cover mapping Semantic segmentation Semi-supervised learning Optical remote sensing images
Online dostop:	http://www.sciencedirect.com/science/article/pii/S1569843224005168
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