Application of pixel segmentation to the low rate compression of complex SAR imagery

Conference · Sun Mar 01 04:00:00 EST 1998

OSTI ID:650366

Ives, R W; Eichel, P ^[1]; Magotra, N ^[2]

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1. Sandia National Labs., Albuquerque, NM (United States)
2. 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 Labs., 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
• Country of Publication: United States
• Language: English

Related Subjects

44 INSTRUMENTATION
INCLUDING NUCLEAR AND PARTICLE DETECTORS
99 GENERAL AND MISCELLANEOUS
DATA PROCESSING
DATA TRANSMISSION
IMAGE PROCESSING
PERFORMANCE
RADAR