TY - GEN
T1 - Adaptive target recognition
AU - Bhanu, Bir
AU - Lin, Yingqiang
AU - Jones, Grinnell
AU - Peng, Jing
N1 - Publisher Copyright:
© 1999 IEEE.
PY - 1999
Y1 - 1999
N2 - Target recognition is a multi-level process requiring a sequence of algorithms at low, intermediate and high levels. Generally, such systems are open loop with no feedback between levels and assuring their performance at the given probability of correct identification (PCI) and probability of false alarm (Pf) is a key challenge in computer vision and pattern recognition research. In this paper a robust closed-loop system for recognition of SAR images based on reinforcement learning is presented. The parameters in the model-based SAR target recognition are learned. The method meets performance specifications by using PCI and Pf as feedback for the learning system. It has been experimentally validated by learning the parameters of the recognition system for SAR imagery, successfully recognizing articulated targets, targets of different configuration and targets of different depression angles.
AB - Target recognition is a multi-level process requiring a sequence of algorithms at low, intermediate and high levels. Generally, such systems are open loop with no feedback between levels and assuring their performance at the given probability of correct identification (PCI) and probability of false alarm (Pf) is a key challenge in computer vision and pattern recognition research. In this paper a robust closed-loop system for recognition of SAR images based on reinforcement learning is presented. The parameters in the model-based SAR target recognition are learned. The method meets performance specifications by using PCI and Pf as feedback for the learning system. It has been experimentally validated by learning the parameters of the recognition system for SAR imagery, successfully recognizing articulated targets, targets of different configuration and targets of different depression angles.
UR - http://www.scopus.com/inward/record.url?scp=85013963179&partnerID=8YFLogxK
U2 - 10.1109/CVBVS.1999.781096
DO - 10.1109/CVBVS.1999.781096
M3 - Conference contribution
AN - SCOPUS:85013963179
T3 - Proceedings - IEEE Workshop on Computer Vision Beyond the Visible Spectrum: Methods and Applications, CVBVS 1999
SP - 71
EP - 81
BT - Proceedings - IEEE Workshop on Computer Vision Beyond the Visible Spectrum
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 1st IEEE Workshop on Computer Vision Beyond the Visible Spectrum: Methods and Applications, CVBVS 1999
Y2 - 21 June 1999 through 22 June 1999
ER -