Object Detection With An Improved Level Set Method

被引：0

作者：

Cao, Hui ^{[1
]}

Cheng, Bo ^{[1
]}

机构：

[1] Ctr Earth Observat & Digital Earth, Beijing, Peoples R China

来源：

SENSORS, MEASUREMENT AND INTELLIGENT MATERIALS, PTS 1-4 | 2013年 / 303-306卷

关键词：

level set; remote sensing; high resolution and image segmentation;

D O I：

10.4028/www.scientific.net/AMM.303-306.1060

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Object detection is quite an important research in remote sensing image analysis. In this paper, we propose an edge and region based model for high resolution remote sensing image segmentation with level set formulation. Our method firstly made an image enhancement based on ROT (Region of Interest). By introducing the edge speed-up function, we can save time through decreasing the iterations and get a flexible segmentation considering the complexity of high resolution remote sensing image. Our method has been preliminarily applied to QuickBird and aerial images.

引用

页码：1060 / 1066

页数：7

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