Zobrazeno 1 - 10
of 39
pro vyhledávání: '"G.J. Owirka"'
Publikováno v:
IEEE Transactions on Aerospace and Electronic Systems. 36:1279-1289
MIT Lincoln Laboratory is responsible for developing the ATR (automatic target recognition) system for the DARPA-sponsored SAIP program; the baseline ATR system recognizes 10 GOB (ground order of battle) targets; the enhanced version of SAIP requires
Publikováno v:
IEEE Transactions on Aerospace and Electronic Systems. 35:157-175
Using advanced technology, a new automatic target recognition (ATR) system has been developed that provides significantly improved target recognition performance compared with ATR systems that use conventional synthetic aperture radar (SAR) image-pro
Publikováno v:
IEEE Transactions on Aerospace and Electronic Systems. 33:102-116
Lincoln Laboratory is investigating the detection and classification of stationary ground targets using high resolution, fully polarimetric, synthetic aperture radar (SAR) imagery. A study is summarized in which data collected by the Lincoln Laborato
Publikováno v:
Pattern Recognition. 27:607-617
The application of spatial matched filter classifiers to the synthetic aperture radar (SAR) automatic target recognition (ATR) problem is being investigated at MIT Lincoln Laboratory. Initial studies investigating the use of several different spatial
Publikováno v:
[1992] Conference Record of the Twenty-Sixth Asilomar Conference on Signals, Systems & Computers.
The application of neural networks to the synthetic aperture radar (SAR) automatic target recognition (ATR) problem is discussed. In particular, initial studies investigating the use of an ART-2 self organizing neural-network in a 2-D SAR ATR system
Publikováno v:
Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers.
In military operations, targets are often deployed in well defined groups, such as tank divisions. It is possible to exploit this information and develop algorithms to detect such groups of targets for automated target cueing (ATC). These candidate a
Publikováno v:
Proceedings of 1994 IEEE National Radar Conference.
In this paper, we examine three different target detection techniques (including a family of two-dimensional adaptive filters) applied to FOPEN data collected by a UHF foliage penetration radar. >
Autor:
G.J. Owirka, Leslie M. Novak
Publikováno v:
Proceedings of 1994 IEEE National Radar Conference.
In order to maintain a high probability of correct classification the classifier must provide good separation between target classes and must be robust with respect to target variability. The authors have implemented a new target classifier based upo
Publikováno v:
NTC '91 - National Telesystems Conference Proceedings.
The results of a study of several polarimetric target detection algorithms are presented. The study concerns the Lincoln Laboratory millimeter-wave SAR sensor, a fully polarimetric, 35 GHz synthetic-aperture radar. Fully polarimetric measurements (HH
Publikováno v:
Conference Record of Thirty-Second Asilomar Conference on Signals, Systems and Computers (Cat. No.98CH36284).
The MIT Lincoln Laboratory has developed the ATR (automatic target recognition) system for the DARPA-sponsored SAIP program; the baseline ATR system recognizes 10 GOB (ground order of battle) targets; the enhanced version of SAIP requires the ATR sys