Share Email Print
cover

Proceedings Paper

Iterative matched filtering for detection of non-rare target materials in hyperspectral imagery
Author(s): Kwang-Eun Kim; Sung-Soon Lee; Hyun-Seob Baik
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

Matched filter, which models background variability using the statistics of the entire image with the assumption of rare and small targets, often fails when the target materials are frequently present in the image data. In this study, an iterative matched filtering technique is proposed which can effectively reduce the contamination of background statistics by target signal without any complicated spectral or spatial pre-processing. It applies matched filter iteratively with gradual exclusion of target-like pixels from background characterization based on the matched filtered score. Experimental results using the real airborne hyperspectral image data and simulated data with artificial mineral targets show that the proposed method can dramatically improve the detection performance. Though the statistical complexity of background materials is not investigated, it is expected to be used as a simple and practical technique for improving the detection performance of matched filter by reducing target leakage effect when the target materials are frequently present in the image data. This technique also can be directly adopted by other extensions of matched filters such as constrained energy minimization (CEM) and adaptive cosine estimator (ACE).

Paper Details

Date Published: 18 October 2016
PDF: 7 pages
Proc. SPIE 10004, Image and Signal Processing for Remote Sensing XXII, 100040E (18 October 2016); doi: 10.1117/12.2240638
Show Author Affiliations
Kwang-Eun Kim, Korea Institute of Geoscience and Mineral Resources (Korea, Republic of)
Sung-Soon Lee, Korea Institute of Geoscience and Mineral Resources (Korea, Republic of)
Hyun-Seob Baik, Korea Institute of Geoscience and Mineral Resources (Korea, Republic of)
Univ. of Science and Technology (Korea, Republic of)


Published in SPIE Proceedings Vol. 10004:
Image and Signal Processing for Remote Sensing XXII
Lorenzo Bruzzone; Francesca Bovolo, Editor(s)

© SPIE. Terms of Use
Back to Top