A novel interpolation-based subpixel mapping for hyperspectral image by using pansharpening
Received:February 23, 2020  Revised:January 07, 2021  download
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Author NameAffiliationE-mail
WANG Peng College of Electronic and Information Engineering Nanjing University of Aeronautics and Astronautics Nanjing 210016 China
Hubei Key Laboratory of Intelligent Geo-Information Processing China University of Geosciences Wuhan 430074 China
Hubei Key Laboratory of Regional Development and Environment Response Hubei University Wuhan 430062 China 
pengwang_b614080003@nuaa.edu.cn 
YAO Hong-Yu College of Electronic and Information Engineering Nanjing University of Aeronautics and Astronautics Nanjing 210016 China  
ZHANG Gong College of Electronic and Information Engineering Nanjing University of Aeronautics and Astronautics Nanjing 210016 China  
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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