SAR image data compression using a tree-structured wavelet transform

TitleSAR image data compression using a tree-structured wavelet transform
Publication TypeJournal Article
Year of Publication2001
AuthorsZeng, Z., and I. G. Cumming
JournalGeoscience and Remote Sensing, IEEE Transactions on
Pagination546 -552
Date Publishedmar.
Keywordsdata compression, data storage, data transmission, encoding schemes, geophysical signal processing, homogeneity mapping, homogeneous areas, image compressibility, image interpretability, JPEG compression methods, nonhomogeneous areas, remote sensing by radar, SAR image data compression, set partitioning in hierarchical trees, speckle noise reduction, SPIHT wavelet compression scheme, synthetic aperture radar, texture analysis, tree-structured wavelet transform, wavelet framework, wavelet transforms

SAR image compression is very important in reducing the costs of data storage and transmission in relatively slow channels. The authors propose a compression scheme driven by texture analysis, homogeneity mapping and speckle noise reduction within the wavelet framework. The image compressibility and interpretability are improved by incorporating speckle reduction into the compression scheme. The authors begin with the classical set partitioning in hierarchical trees (SPIHT) wavelet compression scheme, and modify it to control the amount of speckle reduction, applying different encoding schemes to homogeneous and nonhomogeneous areas of the scene. The results compare favorably with the conventional SPIHT wavelet and the JPEG compression methods


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