A novel interpolation-based subpixel mapping for hyperspectral image by using pansharpening
Author:
Affiliation:

1.College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;2.Hubei Key Laboratory of Intelligent Geo-Information Processing, China University of Geosciences, Wuhan 430074, China;3.Hubei Key Laboratory of Regional Development and Environment Response, Hubei University, Wuhan 430062, China

Clc Number:

O43

Fund Project:

Supported by the National Natural Science Foundation of China (6180121, 61871218); Hubei Key Laboratory of Regional Development and Environment Response Fundamental (2020(B)004); Hubei Key Laboratory of Intelligent Geo-Information Processing (KLIGIP-2019A05); State Key Laboratory of Geo-Information Engineering (SKLGIE2019-M-3-4); Fundamental Research Funds for the Central Universities (NZ2020009)

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    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.

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WANG Peng, YAO Hong-Yu, ZHANG Gong. A novel interpolation-based subpixel mapping for hyperspectral image by using pansharpening[J]. Journal of Infrared and Millimeter Waves,2021,40(1):56~63

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History
  • Received:February 23,2020
  • Revised:January 07,2021
  • Adopted:September 10,2020
  • Online: January 06,2021
  • Published: