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Chinese Journal of Space Science ›› 2019, Vol. 39 ›› Issue (4): 537-543.doi: 10.11728/cjss2019.04.537

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Atmospheric Correction Method for Ground-based Headwall Hyperspectral Imagery

WU Xiaoming   

  1. Basic Teaching Department, Shandong Foreign Trade Vocational College, Qingdao 266100
  • Received:2018-05-21 Revised:2019-05-22 Online:2019-07-15 Published:2019-08-15

Abstract:

Atmospheric correction of remote sensing imagery is one of the prerequisites and difficulties of the quantitative remote sensing research. There are many methods and models for atmospheric correction. Several common methods of atmospheric correction, including the FLAASH model, 6S model, ELC method, and QUAC method etc are discussed in this paper. These atmospheric correction methods are applied to Headwall hyperspectral imagery. The apparent reflectance, corrected reflectance, and the measured reflectance of four kinds of typical objects in the study area are compared. The result shows that these four models can effectively remove the influence of the atmosphere, and it can basically restore the representative characteristics of typical objects spectrum. The performance of the ELC method is superior to the other methods in the atmospheric correction of ground-based Headwall hyperspectral imagery.

Key words: Hyperspectral, Atmospheric correction, FLAASH model, 6S model, ELC method

CLC Number: