Share Email Print
cover

Proceedings Paper

Multi-layer filtering approach for hyperspectral target detection
Author(s): Zhengxia Zou; Zhenwei Shi
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Target detection is an important application in hyperspectral image processing field. In this paper, we propose a new target detection method incorporates the idea of using multi-layer spectral filters, which aims to boost the performance of the traditional detection methods. The proposed algorithm enhances the targets and suppresses the undesired backgrounds through a layer-by-layer filtering procedure. Several second-order algorithms for hyperspectral target detection have been proposed, such as Matched Filter (MF), Constrained Energy Minimization (CEM) and Adaptive Coherence Estimator (ACE). In this paper, a basic second-order filter detector such as CEM, MF and ACE is used to filter the spectral data. After each layer of filtering, we transform the spectral vectors with a nonlinear function based on the previous layer's filtering results. Through the layer-by-layer filtering process, we obtain the gradually increasing improvements of the detection performance.

Experimental results for detecting targets in real hyperspectral image are presented with our multi-layer filtering approach. Our method suggests significant advantages on real hyperspectral data, and improves the performance of the classical second-order algorithms, such as CEM, MF and ACE.

Paper Details

Date Published: 30 August 2013
PDF: 7 pages
Proc. SPIE 8910, International Symposium on Photoelectronic Detection and Imaging 2013: Imaging Spectrometer Technologies and Applications, 89101M (30 August 2013); doi: 10.1117/12.2034638
Show Author Affiliations
Zhengxia Zou, Beihang Univ. (China)
Zhenwei Shi, BeiHang Univ. (China)


Published in SPIE Proceedings Vol. 8910:
International Symposium on Photoelectronic Detection and Imaging 2013: Imaging Spectrometer Technologies and Applications
Lifu Zhang; Jianfeng Yang, Editor(s)

© SPIE. Terms of Use
Back to Top