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自适应多尺度融合遥感图像分割方法

李楠 霍宏 方涛

计算机工程2012,Vol.38Issue(24):208-210,215,4.
计算机工程2012,Vol.38Issue(24):208-210,215,4.

自适应多尺度融合遥感图像分割方法

Adaptive Multi-scale Integrated Remote Sensing Image Segmentation Method

李楠 1霍宏 1方涛1

作者信息

  • 1. 上海交通大学系统控制与信息处理教育部重点实验室,上海200240
  • 折叠

摘要

Abstract

For remote sensing image, the data are huge quantity, and the objects are closely related to spatial scale. This paper proposes an adaptive multi-scale integrated remote sensing image segmentation method. It uses color variance to define the distance between regions, and achieves the fast region merging based on region adjacency graph and nearest neighbor graph. Simultaneously, it establishes the relationship between scale and threshold, and then obtains multi-scale segmentation results based on different thresholds, and obtains the results by integrating multi-scale results. Experimental results show that the over-segmentation or sub-segmentation can be eliminated effectively.

关键词

遥感图像/图像分割/多尺度/图像融合/图模型/阈值

Key words

remote sensing image/ image segmentation/ multi-scale/ image fusion/ graph model/ threshold

分类

信息技术与安全科学

引用本文复制引用

李楠,霍宏,方涛..自适应多尺度融合遥感图像分割方法[J].计算机工程,2012,38(24):208-210,215,4.

基金项目

国家"973"计划基金资助项目(2012CB719903) (2012CB719903)

国家自然科学基金资助项目(41071256) (41071256)

国家自然科学基金青年基金资助项目(41101386) (41101386)

高等学校博士点基金资助项目(20090073110018) (20090073110018)

计算机工程

OACSCDCSTPCD

1000-3428

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