Unsupervised Change Detection for Satellite Images Using Dual-Tree Complex Wavelet Transform

In this paper, an unsupervised change-detection method for multitemporal satellite images is proposed. The algorithm exploits the inherent multiscale structure of the dual-tree complex wavelet transform (DT-CWT) to individually decompose each input image into one low-pass subband and six directional...

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Bibliographic Details
Published in:	IEEE transactions on geoscience and remote sensing Vol. 48; no. 3; pp. 1199 - 1210
Main Authors:	Celik, T., Kai-Kuang Ma
Format:	Journal Article
Language:	English
Published:	New York, NY IEEE 01.03.2010 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Applied geophysics Bayesian inference Change detection Change detection algorithms difference image dual-tree complex wavelet transform (DT-DWT) Earth sciences Earth, ocean, space environmental monitoring Error probability Exact sciences and technology expectation maximization (EM) Gaussian mixture modeling Image analysis Interference Internal geophysics Lighting Masks Mathematical models multispectral images multitemporal images Noise Noise level Noise levels Noise robustness Pixel remote sensing satellite images Satellites Statistical models Studies surveillance unsupervised thresholding Wavelet transforms algorithms environmental monitoring simulation multispectral remote sensing wavelet transformation expectation maximization (EM) interferences imagery noise multispectral images surveillance Bayesian inference performances satellite images models difference image probability Space remote sensing dual-tree complex wavelet transform (DT-DWT) multitemporal images remote sensing Gaussian mixture modeling monitoring wavelet change detection errors Pixel unsupervised thresholding
ISSN:	0196-2892, 1558-0644
Online Access:	Get full text
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