Land use change detection using statistical signature matching and rule-based post-processing

B. Mayhew, F. V. Poncet, M. Schlund

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

This paper presents a method for using multi-temporal TerraSAR-X images together with existing cartographic vector data to identify changes in land use. Typically, this would require existing imagery since direct image comparison is very sensitive for change detection. Here, the goal is to create a system that can reliably identify changes in land use automatically from a small set of multi-temporal radar images, without the necessity of having imagery available from the time of previous interpretation, which in many cases is simply not available. A particular focus is the updating of existing land use maps that were prepared without any use of SAR data.
Original languageEnglish
Title of host publication2012 IEEE International Geoscience and Remote Sensing Symposium
PublisherIEEE
Pages6773-6776
Number of pages4
ISBN (Electronic)978-1-4673-1159-5
ISBN (Print)978-1-4673-1160-1
DOIs
Publication statusPublished - 2012
Externally publishedYes
EventIEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012: Remote Sensing for a Dynamic Earth - Munich, Germany
Duration: 22 Jul 201227 Jul 2012
http://www.igarss2012.org/

Publication series

NameIEEE International Symposium on Geoscience and Remote Sensing (IGARSS)
PublisherIEEE
Volume2012
ISSN (Print)2153-6996
ISSN (Electronic)2153-7003

Conference

ConferenceIEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012
Abbreviated titleIGARSS
CountryGermany
CityMunich
Period22/07/1227/07/12
Internet address

Keywords

  • Change detection
  • TerraSAR-X
  • Geodatabase
  • Object-based
  • parametric signature comparison
  • ITC-CV

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