Please use this identifier to cite or link to this item: https://doi.org/10.1109/TGRS.2010.2066979
Title: Multitemporal image change detection using undecimated discrete wavelet transform and active contours
Authors: Celik, T. 
Ma, K.-K.
Keywords: Active contours
change detection
difference image
environmental monitoring
level sets
multitemporal images
optical images
remote sensing
satellite images
surveillance
synthetic aperture radar (SAR)
undecimated discrete wavelet transform (UDWT)
Issue Date: Feb-2011
Citation: Celik, T., Ma, K.-K. (2011-02). Multitemporal image change detection using undecimated discrete wavelet transform and active contours. IEEE Transactions on Geoscience and Remote Sensing 49 (2) : 706-716. ScholarBank@NUS Repository. https://doi.org/10.1109/TGRS.2010.2066979
Abstract: In this paper, an unsupervised change detection method for satellite images is proposed. Owing to its robustness against noise, the undecimated discrete wavelet transform is exploited to obtain a multiresolution representation of the difference image, which is obtained from two satellite images acquired from the same geographical area but at different time instances. A region-based active contour model is then applied to the multiresolution representation of the difference image for segmenting the difference image into the "changed" and "unchanged" regions. The proposed change detection method has been conducted on two types of image data sets, i.e., the synthetic aperture radar images and the optical images. The change detection results are compared with several state-of-the-art techniques. The extensive simulation results clearly show that the proposed change detection method consistently yields superior performance. © 2006 IEEE.
Source Title: IEEE Transactions on Geoscience and Remote Sensing
URI: http://scholarbank.nus.edu.sg/handle/10635/76606
ISSN: 01962892
DOI: 10.1109/TGRS.2010.2066979
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