Deep Learning Methods for Semantic Segmentation in Remote Sensing with Small Data: A Survey

The annotations used during the training process are crucial for the inference results of remote sensing images (RSIs) based on a deep learning framework. Unlabeled RSIs can be obtained relatively easily. However, pixel-level annotation is a process that necessitates a high level of expertise and ex...

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Detalhes bibliográficos

Principais autores:	Anzhu Yu, Yujun Quan, Ru Yu, Wenyue Guo, Xin Wang, Danyang Hong, Haodi Zhang, Junming Chen, Qingfeng Hu, Peipei He
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2023-10-01
Colecção:	Remote Sensing
Assuntos:	self-supervised learning semi-supervised learning weakly supervised learning few-shot approaches
Acesso em linha:	https://www.mdpi.com/2072-4292/15/20/4987
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