NDLI: Detection of Tsunami Induced Changes from High Resolution Satellite Imagery

Content Provider	IEEE Xplore Digital Library
Author	Sumer, E. Celebi, F.V.
Copyright Year	2006
Description	Author affiliation: Baskent Univ., Ankara (Sumer, E.)
Abstract	The 2004 Indian Ocean earthquake, also known as the Sumatra-Andaman earthquake, was an undersea earthquake that occurred at 00:58:53 UTC (07:58:53 local time) on December 26, 2004. The tsunami, generated by the earthquake killed approximately 275,000 people, injured lots more and forced many individuals to leave their homes. The earthquake originated in the Indian Ocean just north of Simeulue Island, off the western coast of northern Sumatra, Indonesia. The resulting tsunami devastated the shores of Indonesia, Sri Lanka, South India, Thailand and other countries with waves up to 30 m (100 ft). In this study, the detection of changes due to the tsunami after the earthquake is performed. The images of the suffered region are acquired by Quick Bird satellite of Digital Globe Company, taken before (on April 12, 2004) and after (on January 2, 2005) the disaster. The aim of this study is to find the location of the changed regions and to specify the intensity of the change by using various change detection algorithms, which are the image algebra (band differencing and band rationing), post-classification comparison, the binary mask applied to date-2 and write function memory insertion. The image algebra techniques are generally used in two forms, which are called band differencing and band rationing. Band differencing is probably the most widely applied change detection algorithm that involves subtracting one date of imagery from a second date that has been precisely registered to the first. The resulting image contains both negative and positive values, which indicate the change between the images. Intuitively, if there is no change, then the expected values from image differencing would be zero. Similar to image differencing, change detection can also be achieved through band rationing. The basic idea is to create ratios between two different images of the same area. The areas of no change in this procedure will result in value of 1, where changes greater and less than 1 indicates the differences between the images. In post classification comparison, each image is classified by using a supervised classification algorithm (e.g. Maximum Likelihood Classifier) and the classified images are compared pixel by pixel In the binary mask applied to date-2 method, the pre-event image is firstly classified and then a new image is generated by performing algebraic operations on an arbitrary common band of the pre-and post-event images. In addition to that, a threshold value is determined whether a change occurs or not. The regions under the threshold are removed and the remaining parts are specified as changed regions. In the last technique, write function memory insertion, the individual bands of the images are inserted into specific write function memory banks (red, green or blue) in a digital image processing system. During the implementation of these methods, Matlab programming language, which is quite efficient in image processing operations, is used. The results of this study indicate the regions that are changed by the tsunami and the intensity of this change are successfully detected.
Starting Page	1
Ending Page	7
File Size	5964192
Page Count	7
File Format	PDF
ISBN	9781424401376
DOI	10.1109/OCEANSAP.2006.4393934
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-05-16
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Tsunami Image resolution Satellites Earthquakes Oceans Detection algorithms Algebra Pixel Birds Classification algorithms High-resolution Satellite Imagery Remote Sensing Change Detection
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

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