DocumentCode
3295250
Title
Detection of ephemeral changes in sequences of images
Author
Theiler, James ; Adler-Golden, Steven M.
Author_Institution
Space & Remote Sensing Sci., Los Alamos Nat. Lab., Los Alamos, NM
fYear
2008
fDate
15-17 Oct. 2008
Firstpage
1
Lastpage
8
Abstract
The formalism of anomalous change detection, which was developed for finding unusual changes in pairs of images, is extended to sequences of more than two images. Extended algorithms based on RX, Chronochrome, and Hyper are presented for identifying the most anomalously changing pixels in a sequence of co-registered images. Experimental comparisons are performed both on real data with real anomalies and on real data with simulated anomalies.
Keywords
image sequences; anomalous change detection; ephemeral changes; image sequences; Algorithm design and analysis; Change detection algorithms; Detectors; Gaussian distribution; Laboratories; Lighting; Machine learning; Machine learning algorithms; Pixel; Remote sensing;
fLanguage
English
Publisher
ieee
Conference_Titel
Applied Imagery Pattern Recognition Workshop, 2008. AIPR '08. 37th IEEE
Conference_Location
Washington DC
ISSN
1550-5219
Print_ISBN
978-1-4244-3125-0
Electronic_ISBN
1550-5219
Type
conf
DOI
10.1109/AIPR.2008.4906469
Filename
4906469
Link To Document