Multiview Canonical Correlation Analysis Networks for Remote Sensing Image Recognition

	Multiview Canonical Correlation Analysis Networks for Remote Sensing Image Recognition
	Xinghao Yang; Weifeng Liu; Dapeng Tao; Jun Cheng; Shuying Li
刊名	IEEE Geoscience and Remote Sensing Letters
	2017
文献子类	期刊论文
英文摘要	In the past decade, deep learning (DL) algorithms have been widely used for remote sensing (RS) image recognition tasks. As the most typical DL model, convolutional neural networks (CNNs) achieves outstand performance for big RS data classification. Recently, a variant of CNN, dubbed canonical correlation analysis network (CCANet), was proposed to abstract the two-view image features. Extensive experiments conducted on several benchmark databases validate the effectiveness of CCANet. However, the CCANet structure is powerless when the observations arrive from more than two sources. To serve the multiview purpose, in this letter, we propose multiview CCANets (MCCANets). Particularly, the MCCANet model learns the stacked multiperspective filter banks by the MCCA method and builds a deep convolutional structure. In the output stage, the binarization and the blockwise histogram are employed as nonlinear processing and feature pooling, respectively. To access the effectiveness of the MCCANet, we conduct a host of experiments on the RSSCN7 RS database. Extensive experimental results demonstrate that the MCCANet outperforms the two-view CCANet.
URL标识	查看原文
语种	英语
内容类型	期刊论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/11648]
专题	深圳先进技术研究院_集成所
作者单位	IEEE Geoscience and Remote Sensing Letters
推荐引用方式 GB/T 7714	Xinghao Yang,Weifeng Liu,Dapeng Tao,et al. Multiview Canonical Correlation Analysis Networks for Remote Sensing Image Recognition[J]. IEEE Geoscience and Remote Sensing Letters,2017.
APA	Xinghao Yang,Weifeng Liu,Dapeng Tao,Jun Cheng,&Shuying Li.(2017).Multiview Canonical Correlation Analysis Networks for Remote Sensing Image Recognition.IEEE Geoscience and Remote Sensing Letters.
MLA	Xinghao Yang,et al."Multiview Canonical Correlation Analysis Networks for Remote Sensing Image Recognition".IEEE Geoscience and Remote Sensing Letters (2017).