A Content-Adaptive Hierarchical Deep Learning Model for Detecting Arbitrary-Oriented Road Surface Elements Using MLS Point Clouds-Reference-Cited by-同舟云学术

A Content-Adaptive Hierarchical Deep Learning Model for Detecting Arbitrary-Oriented Road Surface Elements Using MLS Point Clouds

Published:2023 Issue: Volume:61 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:

Chen Siyun¹^ORCID,Zhang Zhenxin¹^ORCID,Ma Hao²^ORCID,Zhang Liqiang³^ORCID,Zhong Ruofei¹

Affiliation:

1. Key Laboratory of 3D Information Acquisition and Application, Ministry of Education, and the College of Resource Environment and Tourism, Capital, Capital Normal University, Beijing, China

2. Geo-Vision Tech. Company Ltd., Beijing, China

3. School of Geography and the State Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing, China

Funder

National Natural Science Foundation of China

Beijing Natural Science Foundation

General Scientific Research Projects of Beijing Municipal Commission of Education

Beijing Key Laboratory of Urban Spatial Information Engineering

Open Fund of the State Key Laboratory of Remote Sensing Science

National Science Fund for Distinguished Young Scholars

Beijing Outstanding Young Scientist Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/10008051.pdf?arnumber=10008051

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