An adaptive filter for speckle suppression in synthetic aperture radar images
作者:
P. V. NARASIMHA RAO,
M. S. R. R. VIDYADHAR,
T. CH. MALLESWARA RAO,
L. VENKATARATNAM,
期刊:
International Journal of Remote Sensing
(Taylor Available online 1995)
卷期:
Volume 16,
issue 5
页码: 877-889
ISSN:0143-1161
年代: 1995
DOI:10.1080/01431169508954449
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
Synthetic aperture radar images are generally corrupted by speckle noise. This arises due to the coherent nature of radar echoes used in the image formation and it is often necessary to enhance the image by speckle suppression before data can be used in various applications. To suppress speckle and improve the radar image interpretability a simple filtering technique has been proposed. The filter is adaptive to the variance of pixel intensity in a sliding window and accordingly decides the number of nearest neighbours to the central pixel to replace its intensity with the average intensity of those nearest neighbours. The performance of the filter has been studied for speckle removal in the homogeneous areas and its edge retention capability and compared with some of the widely known speckle filters. The results show that the proposed filter retains edges, removes speckle noise and compares well with other known filters in the literature.
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