Prescreening algorithm assessment within the analysts' detection support system

This analysts' detection support system (ADSS) contains a suite of target detection algorithms for wide area aerial surveillance using synthetic aperture radar (SAR) imagery. The ADSS provides a framework to combine the operation of these algorithms in user-specified configurations. This paper...

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Bibliographic Details
Main Authors: Blucher, G., Blacknell, D., Redding, N.J., Vagg, D.
Format: Conference Proceeding
Language:English
Subjects:
Algorithm design and analysis
Australia
Image analysis
Image segmentation
Leg
Military computing
Object detection
Radar detection
Surveillance
Synthetic aperture radar
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Summary:This analysts' detection support system (ADSS) contains a suite of target detection algorithms for wide area aerial surveillance using synthetic aperture radar (SAR) imagery. The ADSS provides a framework to combine the operation of these algorithms in user-specified configurations. This paper compares and contrasts the performance of the various prescreening algorithms singly and in combination within the ADSS framework on a broad range of SAR imagery. The algorithms include adaptive threshold, K-distributed CFAR, average grey absolute difference magnitude map, and segmenting K-distributed CFAR. The performance of these algorithms is compared on polarimetric imagery to assess the contribution of polarimetry to target detection.
DOI:10.1109/RADAR.2003.1278785