摘要
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Qu ickb ird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.
出处
《遥感学报》
EI
CSCD
北大核心
2006年第3期357-365,共9页
NATIONAL REMOTE SENSING BULLETIN
基金
国家自然科学基金项目"面向对象的城市用地智能化遥感分类方法研究"(40301030)
浙江省自然科学基金项目"基于对象的高分辨率遥感影像检索技术研究"(Y505232)
关键词
局域同质性梯度
遥感图像
分水岭变换
区域合并
分割
local homogeneity gradient
remote sensing images
watershed transform
region merging
segmentation
