Automatic generation of change information for multitemporal, multispectral imagery |
Morton J. Canty, Allan A. Nielsen
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| Abstract | A 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. |
| Type | Conference paper [With referee] |
| Conference | ESA-EUSC: Image Information Mining for Security and Intelligence |
| Year | 2006 Month November |
| Electronic version(s) | [pdf] |
| BibTeX data | [bibtex] |
| IMM Group(s) | Image Analysis & Computer Graphics, Geoinformatics |