International Journal Of Coastal, Offshore And Environmental Engineering(ijcoe)

International Journal Of Coastal, Offshore And Environmental Engineering(ijcoe)

Automatic Coastline Extraction Using Radar and Optical Satellite Imagery and Wavelet-IHS Fusion Method

Authors
Hasan Mirsane 1
Yaser Maghsoudi 2
Rohollah Emadi 3
Majid Mostafavi 1
1 Hydrography M.Sc., North Tehran branch, Islamic Azad University, Tehran, Iran.
2 Faculty of Geodesy and Geomatics Engineering, Khaje Nasir Toosi University of Technology (KNTU), Tehran, Iran
3 Department of Geomatics Engineering, South Tehran branch, Islamic Azad University, Tehran, Iran.
10.29252/ijcoe.2.2.11
Abstract
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
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