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Research on Dodging Methods of Optical Remotely Sensed Image

Author: ZhangZhen
Tutor: ZhuBaoShan
School: PLA Information Engineering University
Course: Photogrammetry and Remote Sensing
Keywords: Optical remote sensing image Uneven illumination phenomenon Remote sensing image preprocessing Dodging technology Brightness of the uneven distribution of Contrast to the uneven distribution of MASK dodging method Wavelet Transform LRM theory Mean - variance specification
CLC: TP751
Type: Master's thesis
Year: 2010
Downloads: 175
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Abstract


The phenomenon of uneven illumination optical remote sensing images are important issues that need to be addressed in the pre-processing of remote sensing images , while dodging technology is an important method to solve such problems , but also affect the image quality of products as well as video post-processing of key technologies . On the basis of the study of existing dodging algorithm to solve the two major problems of the brightness and contrast uneven for the purpose of analysis , the key technologies involved , the main research work are as follows : 1 , the system of optical remote sensing images dodging algorithm status quo at home and abroad , summed up both uniform light processing model , and pointed out that optical remote sensing image processing of dodging important and difficult . 2, the system studied several common optical remote sensing image dodging algorithm principle , summed up the advantages and disadvantages of each and applicability , to lay a solid theoretical foundation for subsequent research . , For MASK uniform light algorithm in image brightness distribution of the lack of non-uniformity correction proposed an improved wavelet transform algorithm MASK dodging . The algorithm for the analysis of the respective coefficients in the wavelet transform , summarized the uneven luminance distribution of the image brightness spatial distribution and wavelet coefficients corresponding relationship , respectively, of a wavelet approximation coefficients and the detail coefficients corresponding processing . The experiments show that the improved dodging algorithm MASK dodging algorithm is superior to existing overall brightness and contrast balance , local information enhanced operator efficiency . For dodging algorithm to solve the brightness distribution uniform phenomenon, and can not eliminate the lack of contrast uneven , combined LRM (Local Range Modification) principle and its application in image processing , proposed LRM mean - variance provisions of the non-uniformity correction algorithm . The experiments show that the algorithm can solve the phenomenon of uneven distribution of brightness and contrast , to achieve the consistency of the entire image brightness and contrast to get a better visual effect .

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CLC: > Industrial Technology > Automation technology,computer technology > Remote sensing technology > Interpretation, identification and processing of remote sensing images > Image processing methods
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