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

doi:10.11947/j.AGCS.2017.20170109

Abstract

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.

Key words: linear spectral unmixing, mixed pixel, adjacent pixel, spiral, window

CLC Number:

P237

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.

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