干旱区生态环境知识资源中心(Arid): Desert classification based on a multi-scale residual network with an attention mechanism

Arid

DOI	10.1007/s12303-020-0022-y
	Desert classification based on a multi-scale residual network with an attention mechanism
	Weng, Liguo; Wang, Lexuan; Xia, Min; Shen, Huixiang; Liu, Jia; Xu, Yiqing
通讯作者	Xia, M
来源期刊	GEOSCIENCES JOURNAL
ISSN	1226-4806
EISSN	1598-7477
英文摘要	Desert classification is the fundamental for preventing and/or controlling desertification. Topographical features of desert remote sensing images change constantly due to the uncertainty of desert terrain, illumination, and other properties. Therefore, it is a very challenging task to accurately classify desert areas. In order to quickly and accurately classify desert from remote sensing images, this paper proposed a multi-scale residual network based on an attention mechanism. The network used conventional convolutions to perform preliminary feature extraction on images, and subsequently adopted a multi-scale residual module to further process the feature maps. Based on the idea of fusing multi-scale features, the multi-scale residual module effectively reduced information loss and possible gradient disappearance because of using skip connections. By introducing the attention mechanism, dependencies between feature channels were established, as a result, the network could recalibrate channel characteristic responses adaptively. Experimental results showed that the proposed network had better generalization ability and a higher accuracy on classification of multispectral desert remote sensing images compared with other methods.
英文关键词	desert classification multi-scale feature extraction module residual network attention mechanism
类型	Article ; Early Access
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000564967300001
WOS关键词	MU US DESERT ; DESERTIFICATION ; AREA
WOS类目	Geosciences, Multidisciplinary
WOS研究方向	Geology
来源机构	南京信息工程大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/328196
作者单位	[Weng, Liguo; Wang, Lexuan; Xia, Min; Shen, Huixiang; Liu, Jia] Nanjing Univ Informat Sci & Technol, Jiangsu Collaborat Innovat Ctr Atmospher Environm, Nanjing 210044, Peoples R China; [Xu, Yiqing] Nanjing Forestry Univ, Coll Informat Sci & Technol, Nanjing 210037, Peoples R China
推荐引用方式 GB/T 7714	Weng, Liguo,Wang, Lexuan,Xia, Min,et al. Desert classification based on a multi-scale residual network with an attention mechanism[J]. 南京信息工程大学.
APA	Weng, Liguo,Wang, Lexuan,Xia, Min,Shen, Huixiang,Liu, Jia,&Xu, Yiqing.
MLA	Weng, Liguo,et al."Desert classification based on a multi-scale residual network with an attention mechanism".GEOSCIENCES JOURNAL