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

Hasan Mirsane, Yaser Maghsoudi, R. Emadi, M. Mostafavi
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引用次数: 5

Abstract

Article History: Received: 16 Jul. 2018 Accepted:1 Sep. 2018 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.
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基于雷达和光学卫星图像的海岸线自动提取及小波- ihs融合方法
文章历史:收稿日期:2018年7月16日收稿日期:2018年9月1日海岸线是指海洋边缘或陆地边缘。从持续变化的角度来管理这样的生态环境需要在不同的时间间隔进行监测。为此,有必要利用遥感技术来探测和分析海岸线的变化。利用两种光学和雷达图像以及用于海岸线提取的小波边缘检测算法,研究了位于波斯湾沿岸的两个研究区域(Qeshm岛南部和Tien至Asaluyeh的港口)。本研究采用两种方法提取海岸线,首先分别从光学和雷达图像中提取海岸线,然后采用小波- ihs方法进行图像融合。2009年Qeshm地区的光学、雷达和融合影像的精度分别为3.4、5.5和3.2,2007年Asaluyeh地区的精度分别为2.1、3.4和2.98。
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