A Multiscale Deep Feature for the Instance Segmentation of Water Leakages in Tunnel Using MLS Point Cloud Intensity Images-Reference-Cited by-同舟云学术

A Multiscale Deep Feature for the Instance Segmentation of Water Leakages in Tunnel Using MLS Point Cloud Intensity Images

Published:2022 Issue: Volume:60 Page:1-16
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Liu Shuang¹,Sun Haili¹,Zhang Zhenxin¹^ORCID,Li Yuqi¹,Zhong Ruofei¹,Li Jincheng¹,Chen Siyun¹^ORCID

Affiliation:

1. Key Laboratory of 3D Information Acquisition and Application, Ministry of Education, Beijing Laboratory of Water Resources Security, and the Base of the State Key Laboratory of Urban Environmental Process and Digital Modeling, College of Resource Environment and Tourism, Capital Normal University, Beijing, China

Funder

Beijing Natural Science Foundation

General Scientific Research Projects of Beijing Municipal Commission of Education

National Natural Science Foundation of China

Open Fund of State Key Laboratory of Remote Sensing Science

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/9633014/09732982.pdf?arnumber=9732982

Reference57 articles.