Paper
2 September 2004 AdaptSAPS utility for adaptive ATR development and assessment
Author Affiliations +
Abstract
The ATR community has a strong and growing interest in ATR systems that adapt to changing circumstances and is developing means to solve these dynamic and difficult ATR problems. To facilitate this research, the AFRL COMPASE and SDMS organizations have developed an AdaptSAPS framework for developing and assessing such adaptive ATR systems. This framework, in the form of AdaptSAPS Version 1.0, provides MATLAB code, organized procedures, and an organized database for adaptive ATR systems. SAIC is applying their Ellipse Detector (ED) to this framework to validate the AdaptSAPS procedures and to test the AdaptSAPS database. The ED previously has shown utility on a variety of sensors and ATR problems. Although computationally efficient, the ED is more complex and much more powerful than simpler detectors such as a two parameter CFAR. However, the ED is not currently implemented as an adaptive ATR. In this paper, we show the utility of the AdaptSAPS framework for developing and assessing a non-trivial adaptive ATR by embedding the SAIC ED in the AdaptSAPS framework. We point out the strong points and weak points of AdaptSAPS Version 1.0 and recommend enhancements for future versions. In particular, we comment on AdaptSAPS as delivered, the current missions and data bases in AdaptSAPS, and the current performance measures in AdaptSAPS.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Arnold C. Williams, Peter W. Pachowicz, and James D. Leonard "AdaptSAPS utility for adaptive ATR development and assessment", Proc. SPIE 5427, Algorithms for Synthetic Aperture Radar Imagery XI, (2 September 2004); https://doi.org/10.1117/12.555515
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Algorithm development

Automatic target recognition

Image processing

Sensors

Databases

Image enhancement

Statistical analysis

Back to Top