A Spiral-based Construction of Adjacent Pixel Sets for Linear Spectral Unmixing

  • LIU Boyu ,
  • CHEN Jun ,
  • XING Huaqiao ,
  • WU Hao ,
  • ZHANG Jun
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  • 1. College of Geo-exploration Science and Technology, Jilin University, Changchun 130026, China;
    2. National Geomatics Center of China, Beijing 100830, China;
    3. Geoscience and Surveying Engineering College, China University of Mining and Technology(Beijing), Beijing 100083, China

Received date: 2017-03-09

  Revised date: 2017-07-12

  Online published: 2017-12-05

Supported by

The State Key Program of National Natural Science Foundation of China (No. 41231172)

Abstract

The problem of spectral mixing in fragmented landscape prevents the potentiality of high temporal resolution image from land surface detail dynamic monitoring. The general way is unmixing the spectrum to components based on linear spectral mixing model,with the aid of neighborhood pixels and the least squares method. However,constructing the neighborhood pixel set by a window leads to the underdetermined problem in some areas. This paper analyses the cause of the problem,and introduces spiral to construct optimal neighborhood pixel set as a solution. Experiment on GlobeLand 30 shows that the spiral method has a good applicability for each land surface type. Compared with the traditional method,the overall accuracy can be enhanced by 2%,the accuracy of unmixed results can be improved by nearly one order of magnitude.

Cite this article

LIU Boyu , CHEN Jun , XING Huaqiao , WU Hao , ZHANG Jun . A Spiral-based Construction of Adjacent Pixel Sets for Linear Spectral Unmixing[J]. Acta Geodaetica et Cartographica Sinica, 2017 , 46(11) : 1841 -1849 . DOI: 10.11947/j.AGCS.2017.20170109

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