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Proceedings Paper

SAR image data compression algorithm for clipping service applications
Author(s): Jin-Woo Nahm; Mark J. T. Smith
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Paper Abstract

This paper addresses the SAR image data communications problem between airborne sensors and ground stations. Channel bandwidths are typically constrained. Therefore a compression- transmission-decompression strategy is necessary to facilitate real-time transmission. In the sections that follow, we introduce a new compression-decompression algorithm for transmitting sensor data at low bit rates. The algorithm involves the computation and use of pre-transmission estimates of target locations. These estimates are used to allocate bits preferentially to enhance the quality of the image representation in areas where the probability of targets is high. It is shown that this algorithm is effective in improving the subject quality of the transmitted images as well as improving the receiver-end target recognition performance.

Paper Details

Date Published: 27 February 1996
PDF: 12 pages
Proc. SPIE 2727, Visual Communications and Image Processing '96, (27 February 1996); doi: 10.1117/12.233233
Show Author Affiliations
Jin-Woo Nahm, Georgia Institute of Technology (United States)
Mark J. T. Smith, Georgia Institute of Technology (United States)

Published in SPIE Proceedings Vol. 2727:
Visual Communications and Image Processing '96
Rashid Ansari; Mark J. T. Smith, Editor(s)

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