Title of article :
Automatic Coastline Extraction Using Radar and Optical Satellite Imagery and Wavelet-IHS Fusion Method
Author/Authors :
Mirsane, Hasan Hydrography M.Sc - North Tehran branch - Islamic Azad University, Tehran , Maghsoudi, Yaser Faculty of Geodesy and Geomatics Engineering - Khaje Nasir Toosi University of Technology (KNTU), Tehran , Emadi, Rohollah Department of Geomatics Engineering - South Tehran branch - Islamic Azad University, Tehran , Mostafavi, Majid Hydrography M.Sc - North Tehran branch - Islamic Azad University, Tehran
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
Journal title :
Astroparticle Physics
