Title :
Improved change detection with local co-registration adjustments
Author :
Wohlberg, Brendt ; Theiler, James
Author_Institution :
Los Alamos Nat. Lab., Los Alamos, NM, USA
Abstract :
We introduce a simple approach to compensate for the effects of residual misregistration on the performance of anomalous change detection algorithms. Using real data, both within a simulation framework for anomalous changes, and with a real anomalous change, we illustrate the approach and investigate its effectiveness.
Keywords :
image registration; anomalous change detection; hyperspectral imagery; local coregistration adjustment; multispectral imagery; residual misregistration; Change detection algorithms; Detection algorithms; Detectors; Eigenvalues and eigenfunctions; Hyperspectral sensors; Image analysis; Laboratories; Machine learning algorithms; Multispectral imaging; Pixel; Anomalous change detection; Hyperspectral imagery; Multispectral imagery; Registration;
Conference_Titel :
Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2009. WHISPERS '09. First Workshop on
Conference_Location :
Grenoble
Print_ISBN :
978-1-4244-4686-5
Electronic_ISBN :
978-1-4244-4687-2
DOI :
10.1109/WHISPERS.2009.5289041
