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 language||English (US)|
|Title of host publication||Proceedings - IEEE Workshop on Computer Vision Beyond the Visible Spectrum|
|Subtitle of host publication||Methods and Applications, CVBVS 1999|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||6|
|ISBN (Electronic)||0769500501, 9780769500508|
|State||Published - 1999|
|Event||1st IEEE Workshop on Computer Vision Beyond the Visible Spectrum: Methods and Applications, CVBVS 1999 - Fort Collins, United States|
Duration: Jun 21 1999 → Jun 22 1999
|Name||Proceedings - IEEE Workshop on Computer Vision Beyond the Visible Spectrum: Methods and Applications, CVBVS 1999|
|Other||1st IEEE Workshop on Computer Vision Beyond the Visible Spectrum: Methods and Applications, CVBVS 1999|
|Period||6/21/99 → 6/22/99|
Bibliographical noteFunding Information:
We would like to especially thank Dr. Peter Symosek and Mr. Joe Keller for their valuable comments and help. This research project was supported partially by the Wright Labs of the U.S. Air Force under contract #F 33615 96 C 1819. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the funding agency.
© 1999 IEEE.