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024 7 _ |2 DOI
|a 10.1109/LGRS.2011.2109697
024 7 _ |2 WOS
|a WOS:000292105300044
037 _ _ |a PreJuSER-19797
041 _ _ |a eng
082 _ _ |a 550
084 _ _ |2 WoS
|a Geochemistry & Geophysics
084 _ _ |2 WoS
|a Engineering, Electrical & Electronic
084 _ _ |2 WoS
|a Remote Sensing
100 1 _ |a Marpu, P.R.
|b 0
|0 P:(DE-HGF)0
245 _ _ |a Improving Change Detection Results of IR-MAD by Eliminating Strong Changes
260 _ _ |a New York, NY
|b IEEE
|c 2011
300 _ _ |a 799 - 803
336 7 _ |a Journal Article
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336 7 _ |a article
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440 _ 0 |a IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
|0 25383
|y 4
|v 8
500 _ _ |3 POF3_Assignment on 2016-02-29
500 _ _ |a Record converted from VDB: 12.11.2012
520 _ _ |a This letter examines the effect of the prior elimination of strong changes on the results of change detection in bitemporal multispectral images using the previously published iteratively reweighted multivariate alteration detection (IR-MAD) method. An initial change mask is calculated by identifying strong changes between two images. By using the mask and hence eliminating the strong changes from the analysis, the IR-MAD method is able to identify a better no-change background. This effect is demonstrated on a multitemporal Landsat Enhanced Thematic Mapper Plus data set from an agricultural region in Germany with substantial improvement in the results even for the scenes which have a large number of changes.
536 _ _ |a Terrestrische Umwelt
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653 2 0 |2 Author
|a Change detection
653 2 0 |2 Author
|a iteratively reweighted multivariate alteration detection (MAD) (IR-MAD)
700 1 _ |a Gamba, P.
|b 1
|0 P:(DE-HGF)0
700 1 _ |a Canty, M.J.
|b 2
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773 _ _ |a 10.1109/LGRS.2011.2109697
|g Vol. 8, p. 799 - 803
|p 799 - 803
|q 8<799 - 803
|0 PERI:(DE-600)2138738-2
|t IEEE geoscience and remote sensing letters
|v 8
|y 2011
|x 1545-598X
856 7 _ |u http://dx.doi.org/10.1109/LGRS.2011.2109697
909 C O |o oai:juser.fz-juelich.de:19797
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914 1 _ |y 2011
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