| 基于局域同质性梯度的遥感图像分割方法及其评价 |
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| 引用本文： | 陈秋晓,陈述彭,周成虎.基于局域同质性梯度的遥感图像分割方法及其评价[J].遥感学报,2006,10(3):357-365. |
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| 作者姓名： | 陈秋晓 陈述彭 周成虎 |
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| 作者单位： | 1. 浙江大学,区域与城市规划系,浙江,杭州,310027;中国科学院,资源与环境信息系统国家重点实验室,北京,100101
2. 中国科学院,资源与环境信息系统国家重点实验室,北京,100101 |
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| 基金项目： | 中国科学院资助项目;浙江省自然科学基金 |
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| 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.
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| 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 |
| 文章编号： | 1007-4619(2006)03-0357-09 |
| 收稿时间： | 2005-03-22 |
| 修稿时间： | 2005-11-21 |
Segmentation Approach for Remote Sensing Images Based on Local Homogeneity Gradient and Its Evaluation |
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| CHEN Qlu-xlao,CHEN Shu-peng and ZHOU Cheng-hu.Segmentation Approach for Remote Sensing Images Based on Local Homogeneity Gradient and Its Evaluation[J].Journal of Remote Sensing,2006,10(3):357-365. |
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| Authors: | CHEN Qlu-xlao CHEN Shu-peng and ZHOU Cheng-hu |
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| Institution: | 1. Department of Regional and Urban Planning, Zhejiang University, Hangzhou 310027, China; 2. State Key Lab of Natural Resources and Environmental Information System, Chinese Academy of Sciences, Beijing 100101, China |
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| Abstract: | 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. |
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| Keywords: | local homogeneity gradient remote sensing images watershed transform region merging segmentation |
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