计算机工程与应用2019，Vol.55Issue(20)：145-151,207,8.DOI:10.3778/j.issn.1002-8331.1806-0301
一种有效的高分辨率遥感影像水体提取方法
Effective Water Body Extraction Method for High Resolution Remote Sensing Images
摘要
Abstract
An effective water body extraction method for high-resolution remote sensing images is proposed. Firstly, a local binary patterns and K-nearest neighbor based approach is designed to classify the water body and the ground coarsely, and the morphological filter is adopted to suppress the noises in the divided regions. Secondly, a local binary patterns and support vector machine based approach is proposed to finely classify the boundary regions between the water body and the ground and at the same time, the morphological filter is used to suppress the noises in the boundary regions. Finally, the morphological erosion operator is applied to the refined results so as to smooth the edges of the water body. The experimental results show that the proposed algorithm can efficiently and effectively detect the water body targets in the remote sensing images.关键词
高分辨率遥感图像/水体提取/局部二值模式/K近邻/支持向量机Key words
high-resolution remote sensing image/water body extraction/local binary patterns/K-nearest neighbor/sup-port vector machine分类
信息技术与安全科学引用本文复制引用
王鑫,徐明君,李可,宁晨..一种有效的高分辨率遥感影像水体提取方法[J].计算机工程与应用,2019,55(20):145-151,207,8.基金项目
国家自然科学基金(No.61603124) （No.61603124）
教育部中央高校基本科研业务费专项资金(No.2018B16114) （No.2018B16114）
江苏省"六大人才高峰"高层次人才项目(No.XYDXX-007) （No.XYDXX-007）
江苏省"333高层次人才培养工程". （）
