DocumentCode
1984429
Title
Advanced methods for sub-pixel anomaly detection
Author
Cohen, Y. ; Rotman, S.R.
Author_Institution
Electro-optics Unit, Ben-Gurion Univ. of the Negev, Beer-Sheva, Israel
fYear
2004
fDate
6-7 Sept. 2004
Firstpage
432
Lastpage
435
Abstract
A new sub-pixel target detection algorithm is developed, integrating the powerful "RX" anomaly detector of Reed and Yu (1990), with segmentation and post-processing filters. The integrated method consistently outperforms spectral anomaly detectors based on RX alone. A novel approach is presented to deal with false alarms caused by edges.
Keywords
adaptive filters; feature extraction; image segmentation; probability; RX anomaly detector; edge false alarms; post-processing filters; segmentation; sub-pixel anomaly detection; target detection; Covariance matrix; Detectors; Filtering algorithms; Filters; Histograms; Hyperspectral imaging; Image edge detection; Image segmentation; Object detection; Pixel;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical and Electronics Engineers in Israel, 2004. Proceedings. 2004 23rd IEEE Convention of
Print_ISBN
0-7803-8427-X
Type
conf
DOI
10.1109/EEEI.2004.1361184
Filename
1361184
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