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

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.

Key words: high-resolution remote sensing image, water body extraction, local binary patterns;[K]-nearest neighbor, support vector machine