Automatic detection of flooded areas on ENVISAT/ASAR images using an object-oriented classification technique and an active contour algorithm

R. Heremans, A. Willekens, D. Borghys, B. Verbeeck, J. Valckenborgh, M. Acheroy, C. Perneel
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引用次数: 56

Abstract

Two techniques for extracting flooded areas out of radar-imagery in a time-efficient way are presented in this paper. The results of the object-oriented classification technique, based on the commercial eCognition software, and the active contour technique, are both obtained on 2 ENVISAT ASAR images; one recorded during a flood period in Flanders on 2 January 2003 and one during a non-flooded region on 26 June of the same year. In both techniques the net flooded result is based on the subtraction of the existing water bodies (i.e. lakes, rivers, canals, ...) obtained from the non-flooded reference image, from the image recorded during the flooded period.
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基于面向对象分类技术和主动轮廓算法的ENVISAT/ASAR图像洪水区域自动检测
本文提出了两种从雷达图像中快速提取洪水区域的方法。基于商业识别软件的面向对象分类技术和主动轮廓技术在2幅ENVISAT ASAR图像上都得到了结果;2003年1月2日在佛兰德斯的洪水期间记录了一次,同年6月26日在非洪水地区记录了一次。在这两种技术中,净淹水结果都是基于从未淹水的参考图像中减去现有水体(即湖泊、河流、运河等),从淹水期间记录的图像中获得的。
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