A fusion algorithm of clustering and geometric features for multi-class man-made objects detection in remote sensing images

	A fusion algorithm of clustering and geometric features for multi-class man-made objects detection in remote sensing images
	Wang, H.-L. and M. Zhu
	2015
发表期刊	Guangdianzi Jiguang/Journal of Optoelectronics Laser
卷号	26 期号:5 页码:992-999
摘要	After improvement of the traditional phase-grouping baseline algorithm and k-means clustering algorithm, this paper proposes a new algorithm to detect man-made objects in high-resolution remote sensing optical images, which is based on the difference of geometric shape between man-made objects and natural ones. First, an improved phase-grouping method is employed to extract lines in the image efficiently; Then, the center points of extracted-lines are treated as processing objects and the lines are classified into k classes by k-means clustering algorithm; Finally, man-made objects are picked up based on the number of the lines and the geometric elements in every class. The experimental results show that the method proposed in this paper is valid for detection of man-made objects with the detection precision above 90%, and so on, and the detection speed reaches 10 frames persecond to the image with 512 pixels512 pixels. , 2015, Board of Optronics Lasers. All right reserved.
文章类型	期刊论文
收录类别	EI
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/56003
专题	中科院长春光机所知识产出
推荐引用方式 GB/T 7714	Wang, H.-L. and M. Zhu. A fusion algorithm of clustering and geometric features for multi-class man-made objects detection in remote sensing images[J]. Guangdianzi Jiguang/Journal of Optoelectronics Laser,2015,26(5):992-999.
APA	Wang, H.-L. and M. Zhu.(2015).A fusion algorithm of clustering and geometric features for multi-class man-made objects detection in remote sensing images.Guangdianzi Jiguang/Journal of Optoelectronics Laser,26(5),992-999.
MLA	Wang, H.-L. and M. Zhu."A fusion algorithm of clustering and geometric features for multi-class man-made objects detection in remote sensing images".Guangdianzi Jiguang/Journal of Optoelectronics Laser 26.5(2015):992-999.

条目包含的文件		下载所有文件
文件名称/大小	文献类型	版本类型	开放类型	使用许可
聚类与几何特征相结合的遥感图像多类人造目（1438KB）	期刊论文	作者接受稿	开放获取	CC BY-NC-SA	浏览下载