Title :
Feature extraction in Through-the-Wall radar imaging
Author :
Debes, Christian ; Hahn, Jürgen ; Zoubir, Abdelhak M. ; Amin, Moeness G.
Author_Institution :
Signal Process. Group, Tech. Univ. Darmstadt, Darmstadt, Germany
Abstract :
This paper deals with the problem of automatic target classification or Through-the-Wall radar imaging. The proposed scheme considers stationary objects in enclosed structures and works on the SAR image rather than the raw data. It comprises segmentation, feature extraction based on superquadrics, and classification. We present a recursive splitting tree to obtain optimum parameters for feature extraction. Support vector machines and nearest neighbor classifiers are then applied to successfully classify among different indoor targets. The classification methods are tested and evaluated using real data generated from synthetic aperture Through-the-Wall radar imaging experiments.
Keywords :
feature extraction; image classification; image segmentation; radar imaging; support vector machines; trees (mathematics); SAR image; automatic target classification; enclosed structures; feature extraction; image segmentation; indoor targets; nearest neighbor classifiers; recursive splitting tree; stationary objects; superquadrics; support vector machines; synthetic aperture through-the-wall radar imaging experiments; Array signal processing; Buildings; Feature extraction; Humans; Image segmentation; Layout; Object detection; Radar imaging; Sensor arrays; Wideband; Through-the-Wall; classification; feature extraction; radar imaging; superquadrics;
Conference_Titel :
Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
Conference_Location :
Dallas, TX
Print_ISBN :
978-1-4244-4295-9
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2010.5495929