Automatic generation of change information for multitemporal, multispectral imagery

Morton J. Canty, Allan A. Nielsen

AbstractA data-oriented and automatic approach to the extraction of change information from time series of multi- and hyperspectral imagery is presented. The method applies the iteratively re-weighted multivariate alteration detection (IR-MAD) algorithm to signal significant changes, recording the results in a highly compressed, georeferenced binary image. A prototype change extraction and archival system, implemented as an extension to the ENVI/IDL remote sensing data processing user interface, is illustrated using time series of LANDSAT TM and ASTER multispectral imagery over the Nevada Nuclear Test Site in the USA.
TypeConference paper [With referee]
ConferenceESA-EUSC: Image Information Mining for Security and Intelligence
Year2006    Month November
Electronic version(s)[pdf]
BibTeX data [bibtex]
IMM Group(s)Image Analysis & Computer Graphics, Geoinformatics