Change detection using land use patterns in Indonesian areas

Retno Kusumaningrum, Dina Chahyati, S. Katmoko Ari, Wiweka Hartojo, Aniati Murni Arymurthy

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

2 Citations (Scopus)

Abstract

In this paper, we propose a novel change detection technique using land use patterns as a reference. Detection process is a combination of post classification and algebra techniques, i.e. each of bi-temporal images will be segmented and applying two kinds of algebraic operation on the images covers addition and substraction of two images. Subsequently, we will classifiy each of pixel into four classes namely class 1 and class 4 (related to uninteresting areas), class 2 (associated with no-change area), and class 3 (the growth of new areas in accordance with pattern which was identified from the second image). The pattern for class 3 is identified using classification model that is resulted from the previous research. The model will classify the area into corresponding patterns, namely corridor, block, cubicles, network, geometric, holes, or diffuse. The result of this technique is able to differentiate the change or no-change area.

Original languageEnglish
Title of host publication2010 International Conference on Distributed Frameworks for Multimedia Applications, DFmA 2010
Publication statusPublished - 1 Dec 2010
Event2010 International Conference on Distributed Frameworks for Multimedia Applications, DFmA 2010 - Yogyakarta, Indonesia
Duration: 2 Aug 20103 Aug 2010

Publication series

Name2010 International Conference on Distributed Frameworks for Multimedia Applications, DFmA 2010

Conference

Conference2010 International Conference on Distributed Frameworks for Multimedia Applications, DFmA 2010
Country/TerritoryIndonesia
CityYogyakarta
Period2/08/103/08/10

Keywords

  • Bi-temporal Images
  • Change Detection
  • Classification Model
  • Land Use Pattern

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