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

Content Provider	IEEE Xplore Digital Library
Author	Celik, T. Kai-Kuang Ma
Copyright Year	1980
Abstract	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 high-pass subbands at each scale. To avoid illumination variation issue possibly incurred in the low-pass subband, only the DT-CWT coefficient difference resulted from the six high-pass subbands of the two satellite images under comparison is analyzed in order to decide whether each subband pixel intensity has incurred a change. Such a binary decision is based on an unsupervised thresholding derived from a mixture statistical model, with a goal of minimizing the total error probability of change detection. The binary change-detection mask is thus formed for each subband, and all the produced subband masks are merged by using both the intrascale fusion and the interscale fusion to yield the final change-detection mask. For conducting the performance evaluation of change detection, the proposed DT-CWT-based unsupervised change-detection method is exploited for both the noise-free and the noisy images. Extensive simulation results clearly show that the proposed algorithm not only consistently provides more accurate detection of small changes but also demonstrates attractive robustness against noise interference under various noise types and noise levels.
Sponsorship	IEEE Geoscience and Remote Sensing Society IEEE URSI
Starting Page	1199
Ending Page	1210
Page Count	12
File Size	1533918
File Format	PDF
ISSN	01962892
Volume Number	48
Issue Number	3
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-03-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Satellites Wavelet transforms Noise level Change detection algorithms Lighting Image analysis Pixel Error probability Noise robustness Interference unsupervised thresholding Bayesian inference change detection difference image dual-tree complex wavelet transform (DT-DWT) environmental monitoring expectation maximization (EM) Gaussian mixture modeling multispectral images multitemporal images remote sensing satellite images surveillance
Content Type	Text
Resource Type	Article
Subject	Earth and Planetary Sciences Electrical and Electronic Engineering

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Image resolution enhancement based on edge directed interpolation using dual tree — Complex wavelet transform

Multiscale Change Detection in Multitemporal Satellite Images

Satellite image enhancement by using dual tree complex wavelet transform: Denoising and illumination enhancement

Image enhancement using DT-CWT based cycle spinning methodology

Medical image denoising using dual tree complex thresholding wavelet transform

Resolution selective change detection in satellite images

Image Resolution Enhancement Using Dual-Tree Complex Wavelet Transform

A combined approach for noise reduction in medical images using Dual Tree Discrete Wavelet Transform and Rotated Dual Tree Discrete Wavelet Transform

Multitemporal Image Change Detection Using Undecimated Discrete Wavelet Transform and Active Contours

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

Similar Documents

Image resolution enhancement based on edge directed interpolation using dual tree — Complex wavelet transform

Multiscale Change Detection in Multitemporal Satellite Images

Satellite image enhancement by using dual tree complex wavelet transform: Denoising and illumination enhancement

Image enhancement using DT-CWT based cycle spinning methodology

Medical image denoising using dual tree complex thresholding wavelet transform

Resolution selective change detection in satellite images

Image Resolution Enhancement Using Dual-Tree Complex Wavelet Transform

A combined approach for noise reduction in medical images using Dual Tree Discrete Wavelet Transform and Rotated Dual Tree Discrete Wavelet Transform

Multitemporal Image Change Detection Using Undecimated Discrete Wavelet Transform and Active Contours

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