Full metadata record
DC FieldValueLanguage
dc.contributor.authorRASI Rastislaven_GB
dc.contributor.authorKISSIYAR Ounsen_GB
dc.contributor.authorVOLLMAR MICHAELen_GB
dc.date.accessioned2012-04-17T19:20:58Z-
dc.date.available2012-02-20en_GB
dc.date.available2012-04-17T19:20:58Z-
dc.date.created2011-12-09en_GB
dc.date.issued2011en_GB
dc.date.submitted2011-09-21en_GB
dc.identifier.citation2011 6th International Workshop on the Analysis of Multi-temporal Remote Sensing Images (Multi-Temp) Proceedings p. 205-208en_GB
dc.identifier.isbn978-1-4577-1202-9en_GB
dc.identifier.urihttp://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6005084en_GB
dc.identifier.urihttp://publications.jrc.ec.europa.eu/repository/handle/JRC66823-
dc.description.abstractThis paper presents the results of research on common change detection techniques. More specifically it looks into the optimization of reshold values for these investigated change detection techniques: image differencing, normalized image differencing, image ratioing, normalized variance differencing, normalized spectral Euclidean distance and Tasseled Cap parameters difference. The threshold values were optimized for the detection of land cover change/nochange based on the comparison with an existing validated classification of five broad land cover classes. For this study a sample set of 104 image pairs was selected, each of 20 x 20 km, cut from Landsat TM/ETM+ imagery series. An object based approach was applied for the land cover change detection. The results showed that the threshold of normalized variance difference had most stable values across the sample set, however applying optimized thresholds the achieved accuracy was comparable for all tested methods.en_GB
dc.description.sponsorshipJRC.H.5-Land Resources Managementen_GB
dc.format.mediumOnlineen_GB
dc.languageENGen_GB
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_GB
dc.relation.ispartofseriesJRC66823en_GB
dc.titleLand Cover Change Detection Thresholds for Landsat Data Samplesen_GB
dc.typeArticles in periodicals and booksen_GB
dc.identifier.doi10.1109/Multi-Temp.2011.6005084en_GB
JRC Directorate:Sustainable Resources

Files in This Item:
There are no files associated with this item.


Items in repository are protected by copyright, with all rights reserved, unless otherwise indicated.