高分辨率遥感影像的快速分割方法

FAST SEGMENTATION METHOD OF HIGH-RESOLUTION REMOTE SENSING IMAGE

近年来，C—V模型被广泛用于图像分割，但计算速度是制约其应用的一个重要因素，如果处理数据量较大、内容复杂的高分辨率遥感图像，耗费时间更长．本文采用C—V模型与小波变换的结合，不仅大大提高了影像的处理速度，而且实现了图像的多尺度分割，并具有良好的抗噪能力．实验结果显示，在保证分割质量的前提下,与直接使用C-V模型的多尺度分割方法相比，该方法能够提高处理速度1～2倍．

In recent years, C-V model has been extensively used in image segmentation, but the computation speed is the key factor restricting the use of the method, especially for the large high resolution remote sensing imagery with complex scene, since the consuming time is very. long. This research presented the method of combining C-V model and wavelet transform, which not only can improve the speed but also can achieve the multi-resolution segmentation, and has good antinoise performance. Experiment results show that our method can improve the speed 1 -2 times compared to the C-V model in the premise of segmentation quality assurance.