武汉大学主页平台管理系统 Xiao Xiongwu--Home-- A multi-view dense point cloud generation algorithm based on low-altitude remote sensing images

肖雄武

Supervisor of Master's Candidates

Main positions:中国测绘学会委员、中国GIS协会委员、灾害与生态环境航空遥感专委会副秘书长、国际数学地球学会中委会委员
Other Post:2022级博士班学术班主任、曾任2018级研究生学术班主任
Alma Mater:武汉大学
Education Level:With Certificate of Graduation for Doctorate Study
Status:Employed
School/Department:测绘遥感信息工程国家重点实验室

Discipline: Computer Applications Technology;
Signal and Information Processing;
Photogrammetry and Remote Sensing

Contact Information:027-68778064; +86 186-0276-2010
E-Mail:

Recommended MA Supervisor >>

MOBILE Version

Click: times

Open Time:..

The Last Update Time:..

Current position: Home >> Scientific Research >> Paper Publications

A multi-view dense point cloud generation algorithm based on low-altitude remote sensing images

Hits : Praise

Affiliation of Author(s):武汉大学测绘遥感信息工程国家重点实验室

Journal:Remote Sensing

Co-author:Zhang Lei,Peng Zhe

Indexed by:Journal paper

Correspondence Author:Yang Nan

Discipline:Engineering

First-Level Discipline:Surveying and Mapping

Document Type:J

Volume:8

Issue:5

Page Number:381

Translation or Not:no

Date of Publication:2016-05-04

Included Journals:SCI、EI

Pre One:A Rapid and High-Precision Mountain Vertex Extraction Method Based on Hotspot Analysis Clustering and Improved Eight-Connected Extraction Algorithms for Digital Elevation Models

Next One:Point cloud optimization method of low-altitude remote sensing image based on vertical patch-based least square matching