一种新的遥感图像海岸线检测方法

A New Method of Coastline Detection for Remote Sensing Image

灰度遥感图像像素数一般比较大,特别是高分辨率的遥感图像,海岸线检测速度比较慢,限制了在工程中的实际应用。为了提高大型遥感图像的速度和精确性,提出了一种基于模糊聚类的快速海岸线检测方法。方法能够快速准确的提取和检测海岸线,对检测时间复杂度为常数,不随着遥感图像的增大而增大,并且检测过程中,无需人为干预,无需依靠阈值分割,而能够自动快速地从分割遥感图像中提取出海岸线。采用合成孔径雷达(SAR)遥感图像做了仿真实验,证明方法能够快速而有效的提取出海岸线。

The data of gray remote sensing image is very large,so coastline detection is very slow,and this case is especially worst for high resolution remote sensing image.Thereby,many coastline detection method can not be applied in practical project.Aiming at this problem,a new fast coastline detection method based on Fuzzy Clustering Mothed is presented.This optimization method can detect coastline fast and correctly,and the time complexity of detection is constant,on the other hand,the detection process is not only without manpower,but also without depending on threshold.The coastline can be detected automatically and fast.Finally,the feasibility of the method is validated by practical application with SAR Synthetic Aperture Radar images.