Automatically scoring ladar detectors using target descriptors

Annette Bergman; David H. DeKruger

doi:10.1117/12.445369

22 October 2001 Automatically scoring ladar detectors using target descriptors

Annette Bergman, David H. DeKruger

Proceedings Volume 4379, Automatic Target Recognition XI; (2001) https://doi.org/10.1117/12.445369
Event: Aerospace/Defense Sensing, Simulation, and Controls, 2001, Orlando, FL, United States

Abstract

The volume of data that must be processed to characterize the performance of target detection algorithms over a complex parameter space requires automated analysis. This paper discusses a methodology for automatically scoring the results from a diversity of detectors producing several different forms of detected regions. The ability to automatically score detector outputs without using full target templates or models has advantages. Using target descriptors-primarily target sizes and locations-reduces the computational cost of matching detected regions against truthed targets in various scenes. It also diminishes the size of and the difficulty of creating an image-truth database. Theoretical considerations are presented. Overcoming issues associated with using limited truth information is explained. Concepts and use of the Auto-Score package are also discussed. The performances of several different laser radar (LADAR) target detectors, applied to imagery containing scenes with targets and both natural and man-made clutter, have been characterized with the aid of Auto-Score. Automatic scoring examples are taken from this domain. However, the scoring process is applicable to detectors operating on other problems and other kinds of data as well. The target-descriptor scoring concept and Auto-Score implementation were originated to support the development of a configurable automatic target recognition (ATR) system for LADAR data, under the auspices of the Office of Naval Research.

Citation Download Citation

Annette Bergman and David H. DeKruger "Automatically scoring ladar detectors using target descriptors", Proc. SPIE 4379, Automatic Target Recognition XI, (22 October 2001); https://doi.org/10.1117/12.445369

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KEYWORDS

Target detection

Sensors

Detection and tracking algorithms

Algorithm development

LIDAR

Automatic target recognition

Target recognition

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