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- W2275103660 abstract "Conventional methods for segmentation on Synthetic Aperture Radar (SAR) images aim to provide automatic analysis and interpretation of data.Usually the task gets failed at many cases due to the influence of speckle in the segmented results. The present work proposes a Hybrid framework for segmentation which will provide approachable segmentation results in SAR imagery for the post processing. This framework uses the full advantage of Non Subsampled Contourlet to achieve promising results. The final resultsare analyzed using different metrics and it shows that our proposed framework is providing promoting results in Segmentation of SAR images." @default.
- W2275103660 created "2016-06-24" @default.
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- W2275103660 date "2014-11-17" @default.
- W2275103660 modified "2023-09-27" @default.
- W2275103660 title "Framework for Segmentation of SAR imagery based on NSCT and IABC Algorithm" @default.
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- W2275103660 doi "https://doi.org/10.5281/zenodo.32254" @default.
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