Problems of encoder-decoder frameworks for high-resolution remote sensing image segmentation: Structural stereotype and insufficient learning

This work explores the use of deep convolutional neural networks for high resolution remote sensing imagery segmentation. Encoder-decoder frameworks are popular in semantic image segmentation. However, encoder-decoder models face two main problems. The one is structural stereotype which is receptive...

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Vydané v:	Neurocomputing (Amsterdam) Ročník 330; s. 297 - 304
Hlavní autori:	Sun, Yi, Tian, Yan, Xu, Yiping
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 22.02.2019
Predmet:	Encoder-decoder frameworks Image segmentation Insufficient learning Remote sensing Structural stereotype 99-00 Image segmentation Structural stereotype 00-01 Insufficient learning Encoder-decoder frameworks Remote sensing
ISSN:	0925-2312, 1872-8286
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