Title: | Anomaly detection using spectral mismatch between anomaly pattern and its neighborhood |
Authors: | Denisova, A.Yu. Myasnikov, Vladislav |
Citation: | WSCG '2015: short communications proceedings: The 23rd International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2015 in co-operation with EUROGRAPHICS: University of West Bohemia, Plzen, Czech Republic8-12 June 2015, p. 41-47. |
Issue Date: | 2015 |
Publisher: | Václav Skala - UNION Agency |
Document type: | konferenční příspěvek conferenceObject |
URI: | wscg.zcu.cz/WSCG2015/CSRN-2502.pdf http://hdl.handle.net/11025/29664 |
ISBN: | 978-80-86943-66-4 |
ISSN: | 2464-4617 |
Keywords: | hyperspektrální obrazy;detekce anomálií;spektrální kritérium neshody |
Keywords in different language: | hyperspectral images;anomaly detection;spectral mismatch criterion |
Abstract: | In this paper we present a novel algorithm for anomaly detection in multichannel images. Proposed algorithm uses spectral mismatch criterion to describe anomalous properties of small image regions. The idea behind the criterion is that the brightness of the anomalous region can't be represented as a function of pixels comprising that region. In our paper, we consider a local pattern of anomaly and its neighborhood, and we use a linear function to approximate the anomaly at each image position. In contrast to existing global and local RXD algorithms our approach allows more adaptive and noise resistant detection of anomalies. Experimental results are presented for hyperspectral remote sensing images. |
Rights: | © Václav Skala - UNION Agency |
Appears in Collections: | WSCG '2015: Short Papers Proceedings |
Files in This Item:
File | Description | Size | Format | |
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Denisova.pdf | Plný text | 991,59 kB | Adobe PDF | View/Open |
Please use this identifier to cite or link to this item:
http://hdl.handle.net/11025/29664
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