Journal of Systems Engineering and Electronics ›› 2012, Vol. 34 ›› Issue (8): 1576-1580.
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ZHANG Yi, ZHANG Qiang, WANG Yu, OUYANG Zhi-xin
Online:
Published:
Abstract:
When using the classical spatial filtering algorithm to process synthetic aperture radar (SAR) images, the identical sliding window is assumed to have homogeneous characteristics, which results in losing of image detail information. To solve the problem described above, a new sliding window structure is presented. The improved algorithm selects pixels that have similar statistical characteristics to the central pixel for structure modeling. Meanwhile, a special detecting and processing strategy is designed to tackle strong scattering points. The airborne SAR image is processed to verify the effectiveness of the method. While maintaining the comparative ability in reducing speckle as the classical algorithm, the proposed algorithm achieves more edge and detail information as well as better image visual effects.
ZHANG Yi, ZHANG Qiang, WANG Yu, OUYANG Zhi-xin. Adaptive red-black window algorithm for SAR image speckle reduction[J]. Journal of Systems Engineering and Electronics, 2012, 34(8): 1576-1580.
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