Application of pixel segmentation to the low rate compression of complex SAR imagery
- Sandia National Labs., Albuquerque, NM (United States)
- Univ. of New Mexico, Albuquerque, NM (United States)
This paper describes a technique to identify pixels within a subregion (chip) of a complex or detected SAR image which are to be losslessly compressed while the remainder of the image is subjected to a high compression ratio. This multi-modal compression is required for the intelligent low rate compression of SAR imagery, which addresses the problem of transmitting massive amounts of high resolution complex SAR data from a remote airborne sensor to a ground station for exploitation by an automatic target recognition (ATR) system, in a real time environment, over a narrow bandwidth. The ATR system results might then be presented to an image analyst who, using the contextual information from the SAR image, makes final target determination.
- Research Organization:
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Organization:
- USDOE Assistant Secretary for Management and Administration, Washington, DC (United States); USDOE Office of Financial Management and Controller, Washington, DC (United States)
- DOE Contract Number:
- AC04-94AL85000
- OSTI ID:
- 650366
- Report Number(s):
- SAND-98-0526C; CONF-980715-; ON: DE98005029; BR: 400403809; TRN: AHC2DT04%%280
- Resource Relation:
- Conference: IEEE international geoscience and remote sensing symposium, Seattle, WA (United States), 6-10 Jul 1998; Other Information: PBD: Mar 1998
- Country of Publication:
- United States
- Language:
- English
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