A ground truth tool for Synthetic Aperture Radar (SAR) imagery

I. Pavlidis, D. Perrin, Nikolaos P Papanikolopoulos, W. Au, S. Sawtelle

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The performance of computer vision algorithms has made great strides and it is good enough to be useful in a number of civilian and military applications. Algorithm advancement in Automatic Target Recognition (ATR) in particular; has reached a critical point. State-of-the-art ATRs are capable of delivering robust performance for certain operational scenarios. As Computer Vision technology matures and algorithms enter the civilian and military marketplace as products, the lack of a formal testing theory and tools become obvious. In this paper we present the design and implementation of a Ground Truth Tool (GTT) for Synthetic Aperture Radar (SAR) imagery. The tool serves as part of an evaluation system for SAR ATRs. It features a semi-automatic method for delineating image objects that draws upon the theory of deformable models. In comparison with other deformable model implementations, our version is stable and is supported by an extensive Graphical User Interface (GUI). Preliminary experimental tests show that the system can substantially increase the productivity and accuracy of the image analyst (IA).

Original languageEnglish (US)
Title of host publicationProceedings - IEEE Workshop on Computer Vision Beyond the Visible Spectrum
Subtitle of host publicationMethods and Applications, CVBVS 1999
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages82-87
Number of pages6
ISBN (Electronic)0769500501, 9780769500508
DOIs
StatePublished - 1999
Event1st IEEE Workshop on Computer Vision Beyond the Visible Spectrum: Methods and Applications, CVBVS 1999 - Fort Collins, United States
Duration: Jun 21 1999Jun 22 1999

Publication series

NameProceedings - IEEE Workshop on Computer Vision Beyond the Visible Spectrum: Methods and Applications, CVBVS 1999

Other

Other1st IEEE Workshop on Computer Vision Beyond the Visible Spectrum: Methods and Applications, CVBVS 1999
Country/TerritoryUnited States
CityFort Collins
Period6/21/996/22/99

Bibliographical note

Publisher Copyright:
© 1999 IEEE.

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