NDLI: Coarse to Fine Unsupervised Change Detection

Content Provider	Springer Nature Link
Author	Çelik, Turgay
Copyright Year	2013
Abstract	A coarse-to-fine change detection method for satellite images is proposed. The difference image computed from multi-temporal satellite images of the same scene is decomposed using the discrete wavelet transform (DWT). Starting from the lowest resolution (or the highest level of DWT decomposition), a change detection map (CM) is computed on lowpass (or approximation) subband using genetic algorithm (GA). The CM from coarser resolution is used as the initial CM to compute a finer CM on finer resolution using the corresponding lowpass subband and GA. This process is repeated until the final CM which has the same spatial resolution with that of the difference image is computed. The proposed method benefits from multi resolution structure to speed up the change detection using GA. The experimental results are shown on different types of satellite image data sets.
Starting Page	3331
Ending Page	3338
Page Count	8
File Format	PDF
ISSN	13198025
Journal	Arabian Journal for Science and Engineering
Volume Number	38
Issue Number	12
e-ISSN	21914281
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2013-09-08
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Change detection Difference image Log-ratio image Multi-temporal satellite images Advanced synthetic aperture radar image Optical image Genetic algorithm Multiresolution data analysis Discrete wavelet transform Remote sensing Engineering Science
Content Type	Text
Resource Type	Article

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