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Research on Thin Cloud Removal in the Remote Sensing Image

Author: WangJinLi
Tutor: WangXiuXin
School: Guangxi Normal University
Course: Pattern Recognition and Intelligent Systems
Keywords: Remote sensing image Haze removal Homomorphic filtering Wavelet Transform HIS transform
CLC: TP751
Type: Master's thesis
Year: 2010
Downloads: 170
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Abstract


After decades of development , remote sensing technology has become increasingly wide range of applications in the development of the national economy . The high cost of the remote sensing data , makes full use of these data has a very important significance . Interference of clouds is one of the important factors that affect the quality of the remote sensing data . Therefore , under the existing conditions to find an accurate and efficient method to Cloud has a very important significance . This paper studies the single image to cloud . In this paper , the digital image transformation method of removing the single sensing image Haze coverage without the auxiliary information , transform domain processing through the remote sensing image Haze coverage , high pass filtering to remove low frequency information where the cloud cover , replaced by the pixel loss of image detail to improve the filtering problem . On this basis , the introduction of the wavelet transform , wavelet transform multiresolution analysis to further improve the effect . Eventually proposed a homomorphic filtering and wavelet analysis method of combining . Then select the three RGB single-band image , homomorphic filtering method using improved wavelet transform method , edge detection and wavelet transform method , homomorphic filtering and wavelet transform method , edge detection and homomorphic filtering and wavelet transform method Haze removal experiments conducted . The study results show that : ( 1 ) use of pixel replacement method the traditional homomorphic filtering results can be improved to some extent , but to improve the results are not ideal . ( 2) the wavelet transform analysis of the introduction of remote sensing images to better go cloud cloud . Will be combined with state filtering and wavelet transform method can effectively remove the image in the clouds , but also a greater degree cloudless area reserved . The innovation of the study is that : ( 1) The proposed method of combining homomorphic filtering and wavelet transform image of the low-frequency and high-frequency part of the image simultaneously handle both effective to addition to the clouds, but also to restore the cloudless information . (2) single-band grayscale images to cloud better way to combine the HIS transform color images to the cloud , to the cloud at the same time retained the original image color information to obtain better results . ( 3) Based on the details of the image edge thinking , try to clouds wavelet modulus maxima edge detection into a variety of algorithms .

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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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