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Image coding of SAR imageryFive coding techniques in the spatial and transform domains have been evaluated for SAR image compression: linear three-point predictor (LTPP), block truncation coding (BTC), microadaptive picture sequencing (MAPS), adaptive discrete cosine transform (ADCT), and adaptive Hadamard transform (AHT). These techniques have been tested with Seasat data. Both LTPP and BTC spatial domain coding techniques provide very good performance at rates of 1-2 bits/pixel. The two transform techniques, ADCT and AHT, demonstrate the capability to compress the SAR imagery to less than 0.5 bits/pixel without visible artifacts. Tradeoffs such as the rate distortion performance, the computational complexity, the algorithm flexibility, and the controllability of compression ratios are also discussed.
Document ID
19870065911
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Chang, C. Y.
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Kwok, R.
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Curlander, J. C.
(California Institute of Technology Jet Propulsion Laboratory, Pasadena, United States)
Date Acquired
August 13, 2013
Publication Date
January 1, 1987
Subject Category
Earth Resources And Remote Sensing
Accession Number
87A53185
Distribution Limits
Public
Copyright
Other

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