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International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B7, 2012 
XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia 
area. Model FLAASH reduces the effect effectively which the 
atmosphere has on the remote sensing image to enhance the 
image information with better accuracy than Model QUAC, but 
it depends on the input parameters and the calibration accuracy 
of instrument, so it applies to the cases that the calibration 
accuracy of instrument has reached the requirements and 
various atmospheric parameters have been known. Although 
the accuracy of Model QUAC is less than Model FLAASH, it 
depends less on the input parameters and the accuracy of 
instrument calibration with its specific applicability. For 
example, under the case that change detection is needed for 
multi-view images, fast atmospheric correction can be made 
first on the two images. Such simple and efficient input set can 
help finish the atmospheric correction task of "from figure to 
figure". It is certain that the two models also need further 
improvement, and enhancing the inversion accuracy in the area 
with complex terrain and under the complex atmospheric 
conditions is a valuable research direction. 
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