提出了一种针对多波段遥感图像的快速分割方法.该方法首先对遥感图像进行量化,然后提取局域同质性梯度图像,进而利用快速分水岭变换进行初始分割,最后利用改进的区域合并方法获得最终的分割结果.利用Quickbird图像进行了相关的实验,并在像素数量误差准则的指导下进行了分割评价,结果表明所提出的方法是一种有效的遥感图像分割方法,在分割速度和精度等方面优于多分辨率分割方法.

A fast segmentation approach for multi-band remote-sensing images was proposed. First, remote-sensing images were quantized. Second, local homogeneity gradient images were produced based on quantization results. Third, a fast watershed transform was applied to gradient images to perform initial segmentation. Finally, an efficient region merging approach was implemented to obtain final segmentation results. To validate the proposed approach, experiments on Quickbird images were performed, and segmentation evaluations were conducted. Evaluation results indicated that the proposed approach was a suitable one for segmenting remote-sensing images, which is better than the Muhiresolution segmentation approach with respect to segmentation speed and accuracy.