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

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

doi:10.1109/IGARSS.2012.6352609

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 proceeding › Conference contribution › Academic › peer-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 language	English
Title of host publication	2012 IEEE International Geoscience and Remote Sensing Symposium
Publisher	IEEE
Pages	6773-6776
Number of pages	4
ISBN (Electronic)	978-1-4673-1159-5
ISBN (Print)	978-1-4673-1160-1
DOIs	https://doi.org/10.1109/IGARSS.2012.6352609
Publication status	Published - 2012
Externally published	Yes
Event	IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012: Remote Sensing for a Dynamic Earth - Munich, Germany Duration: 22 Jul 2012 → 27 Jul 2012 http://www.igarss2012.org/

Publication series

Name	IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)
Publisher	IEEE
Volume	2012
ISSN (Print)	2153-6996
ISSN (Electronic)	2153-7003

Conference

Conference	IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012
Abbreviated title	IGARSS
Country/Territory	Germany
City	Munich
Period	22/07/12 → 27/07/12
Internet address	http://www.igarss2012.org/

Keywords

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

Access to Document

10.1109/IGARSS.2012.6352609

Cite this

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title = "Land use change detection using statistical signature matching and rule-based post-processing",

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.",

keywords = "Change detection, TerraSAR-X, Geodatabase, Object-based, parametric signature comparison, ITC-CV",

author = "B. Mayhew and {V. Poncet}, F. and M. Schlund",

year = "2012",

doi = "10.1109/IGARSS.2012.6352609",

language = "English",

isbn = "978-1-4673-1160-1",

series = "IEEE International Symposium on Geoscience and Remote Sensing (IGARSS) ",

publisher = "IEEE",

pages = "6773--6776",

booktitle = "2012 IEEE International Geoscience and Remote Sensing Symposium",

address = "United States",

note = "IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012 : Remote Sensing for a Dynamic Earth, IGARSS ; Conference date: 22-07-2012 Through 27-07-2012",

url = "http://www.igarss2012.org/",

}

Mayhew, B, V. Poncet, F & Schlund, M 2012, Land use change detection using statistical signature matching and rule-based post-processing. in 2012 IEEE International Geoscience and Remote Sensing Symposium. IEEE International Symposium on Geoscience and Remote Sensing (IGARSS) , vol. 2012, IEEE, pp. 6773-6776, IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012, Munich, Germany, 22/07/12. https://doi.org/10.1109/IGARSS.2012.6352609

Land use change detection using statistical signature matching and rule-based post-processing. / Mayhew, B.; V. Poncet, F.; Schlund, M.

2012 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2012. p. 6773-6776 (IEEE International Symposium on Geoscience and Remote Sensing (IGARSS) ; Vol. 2012).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AB - 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.

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KW - Geodatabase

KW - Object-based

KW - parametric signature comparison

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SN - 978-1-4673-1160-1

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

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Keywords

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