基于目标分解的PolSAR图像面向对象水分提取

Ying Deng, Hong Zhang, Chao Wang, Meng Liu
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引用次数: 4

摘要

合成孔径雷达(SAR)具有全天候、全天候成像能力,为环境监测提供了稳定的数据资源。在与水相关的应用中,从SAR数据中获得精确的水域是必不可少的。提出了一种基于面向对象技术的高精度水提取方案。首先,采用分水岭分割法保存水线。然后,采用分解方法识别水体特征。然后,利用多数投票策略进行水段识别。利用Radarsat-2卫星数据验证了该方法的有效性。采用基于像素的方法和不带多数投票步骤的方法进行比较。实验结果表明,该分割方法能够保持准确的水线,而投票策略能够检测到较小的水区。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Object-oriented water extraction of PolSAR image based on target decomposition
Synthetic Aperture Radar (SAR), with all-weather and all-time imaging capabilities, provides a stable data resource for environmental monitoring. In water related applications, obtaining precise water areas from SAR data is essential. This paper presents a high accuracy water extraction scheme based on Object-Oriented technique. First, a watershed segmentation is used for preserve waterlines. Then, a decomposition method is applied to identify water features. Afterwards, a majority voting strategy is utilized for water segment recognition. A set of Radarsat-2 data is used to verify the efficiency of the proposed method. And a pixel-based scheme and a proposed method without the majority voting step are applied for comparison. The experimental results indicate that the segmentation is able to maintain accurate waterline, while the voting strategy is capable of detecting small water area.
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