Gaussian mixed model in support of semiglobal matching leveraged by ground control points

首页 > 成果 > 详情

认领

导出

Link by DOI

反馈

作者信息关键词期刊信息基础信息归属信息摘要

成果类型：

期刊论文

作者：

Ma, Hao;Zheng, Shunyi*;Li, Chang;Li, Yingsong;Gui, Li

通讯作者：

Zheng, Shunyi

作者机构：

[Gui, Li; Zheng, Shunyi; Li, Yingsong; Ma, Hao] Wuhan Univ, Sch Remote Sensing, Wuhan, Hubei, Peoples R China.

[Gui, Li; Zheng, Shunyi] Collaborat Innovat Ctr Geospatial Technol, Wuhan, Hubei, Peoples R China.

Cent China Normal Univ, Coll Urban & Environm Sci, Hubei Prov Key Lab Geog Proc Anlayzing & Modeling, Wuhan, Hubei, Peoples R China.

[Li, Chang] Cent China Normal Univ, Coll Urban & Environm Sci, Key Lab Geog Proc Anal & Simulat, Wuhan, Hubei, Peoples R China.

[Gui, Li] Wuhan Univ, Sch Elect Informat, Wuhan, Hubei, Peoples R China.

通讯机构：

[Zheng, Shunyi] W

[Zheng, Shunyi] C

Wuhan Univ, Sch Remote Sensing, Wuhan, Hubei, Peoples R China.

Collaborat Innovat Ctr Geospatial Technol, Wuhan, Hubei, Peoples R China.

语种：

英文

关键词：

Gaussian mixture model;Semiglobal matching;confidence updating;ground control points

期刊：

Journal of Applied Remote Sensing

ISSN：

1931-3195

年：

2017

卷：

期：

DOI：

10.1117/1.JRS.11.025014

基金类别：

National Natural Science Foundation of China (NSFC)National Natural Science Foundation of China (NSFC) [41671452, 41101407]; Fundamental Research Funds for the Central UniversitiesFundamental Research Funds for the Central Universities [2042016kf0012]; Key Technology Research and Development Program of Hubei Province [2015BCE080]; China Postdoctoral Science FoundationChina Postdoctoral Science Foundation [2017M612510]

机构署名：

本校为其他机构

院系归属：

城市与环境科学学院

摘要：

Semiglobal matching (SGM) has been widely applied in large aerial images because of its good tradeoff between complexity and robustness. The concept of ground control points (GCPs) is adopted to make SGM more robust. We model the effect of GCPs as two data terms for stereo matching between high-resolution aerial epipolar images in an iterative scheme. One term based on GCPs is formulated by Gaussian mixture model, which strengths the relation between GCPs and the pixels to be estimated and encodes some degree of consistency between them with respect to disparity values. Another term depends on...

反馈

产权有误：本人成果被他人认领

数据有误：数据基本信息有误

归属有误：成果的院系归属、机构署名归属有误

其他原因：

验证码：

看不清楚，换一个

确定

取消

成果认领

标题：

用户	作者	通讯作者	--
	请选择	请选择	--

确定

取消

Gaussian mixed model in support of semiglobal matching leveraged by ground control points

反馈

成果认领

提示

该栏目需要登录且有访问权限才可以访问