Analysis of quality of removing cloud for monochromatic remote sensing images
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1.
School of Mathematics and Physics, Jiangsu Polytechnic University, Changzhou 213164, China;
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2.
School of Electronic Engineering & Opto-electronic Technology, Nanjing University of Science and Technology, Nanjing 210093, China
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Received Date:
2008-02-20
Accepted Date:
2008-07-01
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Abstract
In order to show the best information of monochromatic remote sensing images,it was processed with the algorithms of wavelet transform,advanced mufti-scale Retinex,and homomorphic filter respectively.The criterions of brightness,contrast degree,production of brightness multiplying with contrast degree,information entropy,fidelity were applied to evaluate the quality for the images enhanced by 7 methods and original images.The results showed 3 points.Firstly,the values of brightness,contrast,and production of brightness multiplying with contrast were largest and their image quality was best when the images handled by mufti-scale Retinex and stretched the range of k=1 time standard deviation near the mean brightness.Secondly,the values of contrast and information entropy were biggest and their image quality was well when the images handled by wavelet transform with a high-pass filter.Finally,the value of fidelity was largest in all algorithms and their image quality was common when the images handled by homomorphic filter with n=1.The algorithms of advanced mufti-scale Retinex and wavelet transform were best for removing black cloud and white cloud in remote sensing images respectively.
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