A novel interpolation-based subpixel mapping for hyperspectral image by using pansharpening
投稿时间:2020-02-23  修订日期:2021-01-07  download
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王鹏 南京航空航天大学电子信息工程学院江苏 南京 210016
中国地质大学(武汉)智能地学信息处理湖北省重点实验室湖北 武汉 430074
湖北大学区域开发与环境响应湖北省重点实验室湖北 武汉 430062 
pengwang_b614080003@nuaa.edu.cn 
姚红雨 南京航空航天大学电子信息工程学院江苏 南京 210016  
张弓 南京航空航天大学电子信息工程学院江苏 南京 210016  
Abstract:In this paper, a novel interpolation-based subpixel mapping (ISPM) for hyperspectral image by using pansharpening (PAN-ISPM) is proposed. In the proposed method, a novel processing path is added into the existing processing path of ISPM. Firstly, the original coarse hyperspectral image is improved by pansharpening technique in the novel processing path, and the novel fine fraction images are derived by unmixing the improved image. Secondly, the novel fine fraction images from the novel path and the existing fine fraction images from the existing path are integrated to produce the finer fraction images with more spatial-spectral information. Finally, according to the predicted values from the finer fraction images, class labels are allocated into subpixel to obtain the final mapping result. Experimental results show that the proposed method produces the higher mapping accuracy than the existing ISPM methods.
keywords:hyperspectral image  subpixel mapping  pansharpening technique  spatial-spectral informationPACS: 07.05.Pj
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