000019797 001__ 19797
000019797 005__ 20200702121614.0
000019797 0247_ $$2DOI$$a10.1109/LGRS.2011.2109697
000019797 0247_ $$2WOS$$aWOS:000292105300044
000019797 037__ $$aPreJuSER-19797
000019797 041__ $$aeng
000019797 082__ $$a550
000019797 084__ $$2WoS$$aGeochemistry & Geophysics
000019797 084__ $$2WoS$$aEngineering, Electrical & Electronic
000019797 084__ $$2WoS$$aRemote Sensing
000019797 1001_ $$0P:(DE-HGF)0$$aMarpu, P.R.$$b0
000019797 245__ $$aImproving Change Detection Results of IR-MAD by Eliminating Strong Changes
000019797 260__ $$aNew York, NY$$bIEEE$$c2011
000019797 300__ $$a799 - 803
000019797 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article
000019797 3367_ $$2DataCite$$aOutput Types/Journal article
000019797 3367_ $$00$$2EndNote$$aJournal Article
000019797 3367_ $$2BibTeX$$aARTICLE
000019797 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000019797 3367_ $$2DRIVER$$aarticle
000019797 440_0 $$025383$$aIEEE GEOSCIENCE AND REMOTE SENSING LETTERS$$v8$$y4
000019797 500__ $$3POF3_Assignment on 2016-02-29
000019797 500__ $$aRecord converted from VDB: 12.11.2012
000019797 520__ $$aThis 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.
000019797 536__ $$0G:(DE-Juel1)FUEK407$$2G:(DE-HGF)$$aTerrestrische Umwelt$$cP24$$x0
000019797 588__ $$aDataset connected to Web of Science
000019797 650_7 $$2WoSType$$aJ
000019797 65320 $$2Author$$aChange detection
000019797 65320 $$2Author$$aiteratively reweighted multivariate alteration detection (MAD) (IR-MAD)
000019797 7001_ $$0P:(DE-HGF)0$$aGamba, P.$$b1
000019797 7001_ $$0P:(DE-Juel1)VDB104441$$aCanty, M.J.$$b2$$uFZJ
000019797 773__ $$0PERI:(DE-600)2138738-2$$a10.1109/LGRS.2011.2109697$$gVol. 8, p. 799 - 803$$p799 - 803$$q8<799 - 803$$tIEEE geoscience and remote sensing letters$$v8$$x1545-598X$$y2011
000019797 8567_ $$uhttp://dx.doi.org/10.1109/LGRS.2011.2109697
000019797 909CO $$ooai:juser.fz-juelich.de:19797$$pVDB$$pVDB:Earth_Environment
000019797 9131_ $$0G:(DE-Juel1)FUEK407$$bErde und Umwelt$$kP24$$lTerrestrische Umwelt$$vTerrestrische Umwelt$$x0
000019797 9132_ $$0G:(DE-HGF)POF3-259H$$1G:(DE-HGF)POF3-250$$2G:(DE-HGF)POF3-200$$aDE-HGF$$bMarine, Küsten- und Polare Systeme$$lTerrestrische Umwelt$$vAddenda$$x0
000019797 9141_ $$y2011
000019797 915__ $$0StatID:(DE-HGF)0040$$2StatID$$aPeer review unknown
000019797 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR
000019797 915__ $$0StatID:(DE-HGF)0111$$2StatID$$aWoS$$bScience Citation Index Expanded
000019797 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection
000019797 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bThomson Reuters Master Journal List
000019797 9201_ $$0I:(DE-Juel1)IBG-3-20101118$$gIBG$$kIBG-3$$lAgrosphäre$$x0
000019797 970__ $$aVDB:(DE-Juel1)134792
000019797 980__ $$aVDB
000019797 980__ $$aConvertedRecord
000019797 980__ $$ajournal
000019797 980__ $$aI:(DE-Juel1)IBG-3-20101118
000019797 980__ $$aUNRESTRICTED