IMG2HEIGHT: height estimation from single remote sensing image using a deep convolutional encoder-decoder network

Height estimation from single remote sensing image is a challenging inherently ambiguous and technically ill-posed problem that we address in this study by resorting to deep learning approach. A spatial enhanced and multi-scale aggregated encoder-decoder network, SM-EDNet, is proposed, which takes a...

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Vydané v:	International journal of remote sensing Ročník 44; číslo 18; s. 5686 - 5712
Hlavní autori:	Du, Shouhang, Xing, Jianghe, Du, Shihong, Cui, Ximin, Xiao, Xiongwu, Li, Wei, Wang, Shaoyu
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London Taylor & Francis 17.09.2023 Taylor & Francis Ltd
Predmet:	Coders Convolution data collection deep supervision mechanism DenseASPP encoder-decoder network Encoders-Decoders Formability geometry Height height estimation Ill posed problems Remote sensing ResNet Sensitivity enhancement Single remote sensing image
ISSN:	0143-1161, 1366-5901, 1366-5901
On-line prístup:	Získať plný text
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