TY  - JOUR
AU  - Canty, M. J.
AU  - Nielsen, A. A.
TI  - Automatic radiometric normalization of multitemporal satellite imagery with the iteratively ie-weighted MAD transformation
JO  - Remote sensing of environment
VL  - 112
SN  - 0034-4257
CY  - Amsterdam [u.a.]
PB  - Elsevier Science
M1  - PreJuSER-1742
SP  - 1025 - 1036
PY  - 2008
N1  - Record converted from VDB: 12.11.2012
AB  - 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.
KW  - J (WoSType)
LB  - PUB:(DE-HGF)16
UR  - <Go to ISI:>//WOS:000254443700032
DO  - DOI:10.1016/j.rse.2007.07.013
UR  - https://juser.fz-juelich.de/record/1742
ER  -