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Automatic radiometric normalization of multitemporal satellite imagery

✍ Scribed by Morton J Canty; Allan A Nielsen; Michael Schmidt

Publisher: Elsevier Science
Year: 2004
Tongue: English
Weight: 827 KB
Volume: 91
Category: Article
ISSN: 0034-4257
DOI: 10.1016/j.rse.2003.10.024

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✦ Synopsis

The linear scale invariance of the multivariate alteration detection (MAD) transformation is used to obtain invariant pixels for automatic relative radiometric normalization of time series of multispectral data. Normalization by means of ordinary least squares regression method is compared with normalization using orthogonal regression. The procedure is applied to Landsat TM images over Nevada, Landsat ETM+ images over Morocco, and SPOT HRV images over Kenya. Results from this new automatic, combined MAD/orthogonal regression method, based on statistical analysis of test pixels not used in the actual normalization, compare favorably with results from normalization from manually obtained time-invariant features.

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