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:: Volume 2, Issue 2 (9-2018) ::
ijcoe 2018, 2(2): 11-20 Back to browse issues page
Automatic Coastline Extraction Using Radar and Optical Satellite Imagery and Wavelet-IHS Fusion Method
Hasan Mirsane , Yaser Maghsoudi, Rohollah Emadi, Majid Mostafavi
Hydrography M.Sc., North Tehran branch, Islamic Azad University, Tehran, Iran.
Abstract:   (904 Views)
The coastline is defined as an edge or land margin by the sea. Managing such ecological environments in terms of continuous changes requires monitoring at different intervals. To do this, it is necessary to use remote sensing techniques to detect and analyze coastline variations. Two study areas located on the coast of the Persian Gulf (South part of the Qeshm Island and the port of Tien to Asaluyeh) have been studied by two types of optical and radar images and wavelet edge detection algorithm for coastline extracting. In this study, the coastline is extracted in two ways, firstly the coastline extracts from both optical and radar images separately, then by images fusion using wavelet-IHS method. The accuracy obtained in Qeshm area in 2009 from optical, radar and fused images was 3.4, 5.5 and 3.2 respectively, and in Asaluyeh region in 2007, 2.1, 3.4 and 2.98 respectively.
Keywords: Coastline Extraction, Radar, Landsat, Sentinel-1, ALOS, IRS, Fusion, Wavelet, IHS
Full-Text [PDF 1157 kb]   (498 Downloads)    
Type of Study: Research | Subject: Coastal Engineering
Received: 2018/07/16 | Accepted: 2018/09/1
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Mirsane H, Maghsoudi Y, Emadi R, Mostafavi M. Automatic Coastline Extraction Using Radar and Optical Satellite Imagery and Wavelet-IHS Fusion Method. ijcoe. 2018; 2 (2) :11-20
URL: http://ijcoe.org/article-1-112-en.html

Volume 2, Issue 2 (9-2018) Back to browse issues page
International Journal of Coastal and Offshore Engineering International Journal of Coastal and Offshore Engineering
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