Automatic radiometric normalization of multitemporal satellite imagery

REMOTE SENSING OF ENVIRONMENT

卷:91

Article

Canty, MJ ; Nielsen, AA ; Schmidt, M

关键词: MAD transformation;    orthogonal regression;    radiometric normalization;   

DOI  :  10.1016/j.rse.2003.10.024

来源: Elsevier

【 摘 要 】

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. (C) 2004 Elsevier Inc. All rights reserved.

【 授权许可】

Free