This title appears in the Scientific Report :
2008
Please use the identifier:
http://dx.doi.org/10.1016/j.rse.2007.07.013 in citations.
Automatic radiometric normalization of multitemporal satellite imagery with the iteratively ie-weighted MAD transformation
Automatic radiometric normalization of multitemporal satellite imagery with the iteratively ie-weighted MAD transformation
A recently proposed method for automatic radiometric normalization of multi- and hyperspectral imagery based on the invariance property of the Multivariate Alteration Detection (MAD) transfortnation and orthogonal linear regression is extended by using an iterative re-weighting scheme involving no-c...
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Personal Name(s): | Canty, M. J. |
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Nielsen, A. A. | |
Contributing Institute: |
Agrosphäre; ICG-4 |
Published in: | Remote sensing of environment, 112 (2008) S. 1025 - 1036 |
Imprint: |
Amsterdam [u.a.]
Elsevier Science
2008
|
Physical Description: |
1025 - 1036 |
DOI: |
10.1016/j.rse.2007.07.013 |
Document Type: |
Journal Article |
Research Program: |
Terrestrische Umwelt |
Series Title: |
Remote Sensing of Environment
112 |
Subject (ZB): | |
Publikationsportal JuSER |
A recently proposed method for automatic radiometric normalization of multi- and hyperspectral imagery based on the invariance property of the Multivariate Alteration Detection (MAD) transfortnation and orthogonal linear regression is extended by using an iterative re-weighting scheme involving no-change probabilities. The procedure is first investigated with partly artificial data and then applied to multitemporal, multispectral satellite imagery. Substantial improvement over the previous method is obtained for scenes which exhibit a high proportion of change. (C) 2007 Elsevier Inc. All rights reserved. |