TY - GEN
T1 - Change detection using land use patterns in Indonesian areas
AU - Kusumaningrum, Retno
AU - Chahyati, Dina
AU - Ari, S. Katmoko
AU - Hartojo, Wiweka
AU - Arymurthy, Aniati Murni
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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.
KW - Bi-temporal Images
KW - Change Detection
KW - Classification Model
KW - Land Use Pattern
UR - http://www.scopus.com/inward/record.url?scp=80051980210&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:80051980210
SN - 9786029747911
T3 - 2010 International Conference on Distributed Frameworks for Multimedia Applications, DFmA 2010
BT - 2010 International Conference on Distributed Frameworks for Multimedia Applications, DFmA 2010
T2 - 2010 International Conference on Distributed Frameworks for Multimedia Applications, DFmA 2010
Y2 - 2 August 2010 through 3 August 2010
ER -