Seamline Determination Based on PKGC Segmentation for Remote Sensing Image Mosaicking

	Seamline Determination Based on PKGC Segmentation for Remote Sensing Image Mosaicking
	Dong, Q. and J. H. Liu
	2017
发表期刊	Sensors
卷号	17 期号:8
摘要	This paper presents a novel method of seamline determination for remote sensing image mosaicking. A two-level optimization strategy is applied to determine the seamline. Object-level optimization is executed firstly. Background regions (BRs) and obvious regions (ORs) are extracted based on the results of parametric kernel graph cuts (PKGC) segmentation. The global cost map which consists of color difference, a multi-scale morphological gradient (MSMG) constraint, and texture difference is weighted by BRs. Finally, the seamline is determined in the weighted cost from the start point to the end point. Dijkstra's shortest path algorithm is adopted for pixel-level optimization to determine the positions of seamline. Meanwhile, a new seamline optimization strategy is proposed for image mosaicking with multi-image overlapping regions. The experimental results show the better performance than the conventional method based on mean-shift segmentation. Seamlines based on the proposed method bypass the obvious objects and take less time in execution. This new method is efficient and superior for seamline determination in remote sensing image mosaicking.
收录类别	sci ; ei
语种	英语
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/58884
专题	中科院长春光机所知识产出
推荐引用方式 GB/T 7714	Dong, Q. and J. H. Liu. Seamline Determination Based on PKGC Segmentation for Remote Sensing Image Mosaicking[J]. Sensors,2017,17(8).
APA	Dong, Q. and J. H. Liu.(2017).Seamline Determination Based on PKGC Segmentation for Remote Sensing Image Mosaicking.Sensors,17(8).
MLA	Dong, Q. and J. H. Liu."Seamline Determination Based on PKGC Segmentation for Remote Sensing Image Mosaicking".Sensors 17.8(2017).

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
Seamline Determinati（19035KB）	期刊论文	作者接受稿	开放获取	CC BY-NC-SA	浏览下载