NDLI: Resolution selective change detection in satellite images

Content Provider	IEEE Xplore Digital Library
Author	Celik, T. Curtis, C.V.
Copyright Year	2010
Description	Author affiliation: Department of Chemistry, Faculty of Science, National University of Singapore, BII, A*STAR, Singapore (Celik, T.) \|\| Office of Naval Research, ONR-Global Asia, Tokyo, Japan (Curtis, C.V.)
Abstract	In this paper, we propose a novel method for unsupervised change detection in satellite images. A feature vector for each pixel is extracted using the multiresolution representation of the difference image which is computed from the multitemporal satellite images of the same scene acquired at different time instances. A metric for automatically estimating the number of resolution levels used in multiresolution analysis is proposed. The dimensionality of each feature vector is reduced using principal component analysis (PCA). The feature vectors are then classified into “changed” and “unchanged” classes using k-means clustering with k = 2 to achieve a change detection map. Results are shown on real data and comparisons with the state-of-the-art techniques on advanced synthetic aperture radar (ASAR) images are provided.
Starting Page	970
Ending Page	973
File Size	324875
Page Count	4
File Format	PDF
ISBN	9781424442959
ISSN	15206149
DOI	10.1109/ICASSP.2010.5495301
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-03-14
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image resolution Satellites Discrete wavelet transforms Pixel Principal component analysis Radar detection Multiresolution analysis Change detection algorithms Spatial resolution Data mining remote sensing Change detection multiresolution analysis undecimated discrete wavelet transform multitemporal satellite images
Content Type	Text
Resource Type	Article

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

Multiscale Change Detection in Multitemporal Satellite Images

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

Comparison of data fusion techniques for Beijing-1 Micro-Satellite images

Fusion of multispectral and panchromatic Satellite images using the curvelet transform

Discrete multiwavelet transform method to fusing Landsat-7 panchromatic image and multi-spectral images

Unsupervised Change Detection in Satellite Images Using Principal Component Analysis and $k$-Means Clustering

A novel pansharpening algorithm for IKONOS and QuickBird images

Concepts of Image Fusion in Remote Sensing Applications

Remote sensing image fusion for different spectral and spatial resolutions with bilinear resampling wavelet transform

Resolution selective change detection in satellite images

Similar Documents

Multiscale Change Detection in Multitemporal Satellite Images

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

Comparison of data fusion techniques for Beijing-1 Micro-Satellite images

Fusion of multispectral and panchromatic Satellite images using the curvelet transform

Discrete multiwavelet transform method to fusing Landsat-7 panchromatic image and multi-spectral images

Unsupervised Change Detection in Satellite Images Using Principal Component Analysis and $k$-Means Clustering

A novel pansharpening algorithm for IKONOS and QuickBird images

Concepts of Image Fusion in Remote Sensing Applications

Remote sensing image fusion for different spectral and spatial resolutions with bilinear resampling wavelet transform

Resolution selective change detection in satellite images