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Remote Sensing Technology and Application  2001, Vol. 16 Issue (1): 55-62    DOI: 10.11873/j.issn.1004-0323.2001.1.55
    
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Abstract  An Application of the Hough Transform for Removingthe Random-phase Jam in the Remote Sensing ImageGUO Qiang, CHEN Gui-lin, Tong Wei-qi(Shanghai Insititute of Technical Physics,The Chinese Academy of Science,Shanghai200083China)Abstract:Remote Sensing Images have been applied extensively in the aspects of meteorology, militray andmanufacture. However, Because of the influences of some subsystems, a little correlation jam slip into thechannels inevitably during the imaging of the MCSR, which will damage the validities of the mensurableanalysis to the remote-sensing Images and the precise identification to the remote-sensing ground-objects inlager degrees. So the correlation jams must be removed or suppressed. Based on the analysis of the meritsof the correlation jam as well as comparision of several removel ways, the article presents the Hough trans-form algorithm upon the two-demension frenquency space analysis, its application in remote-sensing imageprocessing and its performances detailly. Experiental results show, compared with the methods of neigh-bour average, median filter and classical frenquency space filter, this algorithm is better in the removingrandom-phase jam of the images and reserves richer fine textures and edge information. On the otherhand, this algorithm makes it possible that the PSNRs of the processed images by this algorithm are higherthan the other removal ways above and the subjective evaluations to the processed images are better too.At the same time, this algorithm has also been applied to the real-time acquisition and processing of aus-tronautic remote sensing system and got the successful results.Key words:Random-phase, Correlation jam, Hough transform, Two-demension frenquency space analysis
Published:  26 December 2011
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. . Remote Sensing Technology and Application, 2001, 16(1): 55-62.

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