Feature extraction and fusion of wideband backscattered signals

Nathan Intrator; Quyen Q. Huynh; Gerald J. Dobeck

doi:10.1117/12.357090

2 August 1999 Feature extraction and fusion of wideband backscattered signals

Nathan Intrator, Quyen Q. Huynh, Gerald J. Dobeck

Proceedings Volume 3710, Detection and Remediation Technologies for Mines and Minelike Targets IV; (1999) https://doi.org/10.1117/12.357090
Event: AeroSense '99, 1999, Orlando, FL, United States

Abstract

Good discrimination result have been obtained with an active backscatter data set of mine-like objects, where the task as to distinguish between man-made and non-man-made objects. In this work we introduce a novel method for constructing best basis for discrimination from wavelet packets, and demonstrate the superiority of multiple ensembles of predictors. We achieve far better discrimination results using a wide band FM sweep of 80kHz compared with the earlier work that used a 40kHz FM sweep. We further show improved results by combining several discriminative methods with several wavelet packet representations.

Citation Download Citation

Nathan Intrator, Quyen Q. Huynh, and Gerald J. Dobeck "Feature extraction and fusion of wideband backscattered signals", Proc. SPIE 3710, Detection and Remediation Technologies for Mines and Minelike Targets IV, (2 August 1999); https://doi.org/10.1117/12.357090

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