Coefficient Feature Extraction and Analysis on SAR Image with Non-Subsampled Contourlet Transform

Shi Qi Huang; Hong You

doi:10.4028/www.scientific.net/AMR.1073-1076.1982

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 1073-1076Coefficient Feature Extraction and Analysis on SAR...

Coefficient Feature Extraction and Analysis on SAR Image with Non-Subsampled Contourlet Transform

Abstract:

Synthetic aperture radar (SAR) can obtain remote sensing data under all-weather and all-time, but the imaging principle is very complex and the right interpretation is more difficult. In this paper, using the characteristics of non-subsampled Contourlet transform (NSCT), including multi-scale, multi direction, anisotropy and shift invariant, the microscopic analysis and extraction of multi-scale features of SAR images is fully discussed. The purpose is to supply right interpretation for SAR image applications. The practical SAR image data is decomposed by NSCT and the decomposition coefficient features are extracted and discussed.

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Periodical:

Advanced Materials Research (Volumes 1073-1076)

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1982-1986

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1073-1076.1982

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Online since:

December 2014

Authors:

Shi Qi Huang*, Hong You

Keywords:

Coefficient Feature, Feature Extraction, NSCT, SAR Image

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