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14

AIPR
2008
IEEE

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309views Pattern Recognition» more AIPR 2008»

Detection of ephemeral changes in sequences of images

13 years 6 months ago

Detection of ephemeral changes in sequences of images

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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.

James Theiler, Steven M. Adler-Golden

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AIPR 2008 | Anomalous Change Detection | Pattern Recognition | Real Data | Unusual Changes |

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Added	12 Oct 2010
Updated	12 Oct 2010
Type	Conference
Year	2008
Where	AIPR
Authors	James Theiler, Steven M. Adler-Golden

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