高分辨率遥感影像并行分割结果缝合算法

胡晓东; 骆剑承; 沈占锋; 吴炜; 陈秋晓

doi:10.11834/jrs.20100507

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专辑

高分辨率遥感影像并行分割结果缝合算法
Data sewing algorithm for parallel segmentation of high-resolution remotely sensed image
2010年14卷第5期页码：917-927
纸质出版：2010
DOI： 10.11834/jrs.20100507
稿件说明：

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[1]胡晓东,骆剑承,沈占锋,吴炜,陈秋晓.高分辨率遥感影像并行分割结果缝合算法[J].遥感学报,2010,14(05):917-927. DOI： 10.11834/jrs.20100507.

Data sewing algorithm for parallel segmentation of high-resolution remotely sensed image[J]. Journal of Remote Sensing, 2010, 14(5): 917-927. DOI： 10.11834/jrs.20100507.

摘要

采用基于数据并行的遥感影像分割实现过程

提出了一种新的数据缝合算法解决分割结果合并问题。分割效果对比和运算效率分析等实验结果表明

此算法保持了分割结果合并后的边界正确性

使并行化分割在提高运算效率的同时保证了分割结果的可信度。

Abstract

In the process and analysis of high-resolution remote sensing image

segmentation is the key step of extracting information from image data to image object. For the image segmentation tasks of large amount of data

data paralleled computing model is generally used. In this process

the effect of merging segmentation results when data gathering is related to the precision and accuracy of the subsequent object-oriented analysis. In this paper

data paralleled segmentation of remote sensing image is adopted

and a new algorithm named data sewing is proposed to solve the problem of merging segmentation results. Experiments

such as comparison of final segmentation results and assessment of computing efficiency

show that the algorithm im-proves the efficiency of image segmentation process. Meanwhile it guarantees the correctness of the boundary thus to ensure the credibility of the final segmentation result as well.