Learning Dense Consistent Features for Aerial-to-Ground Structure-From-Motion-Reference-Cited by-同舟云学术

Learning Dense Consistent Features for Aerial-to-Ground Structure-From-Motion

Published:2023 Issue: Volume:16 Page:5089-5102
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Li Hongjie¹^ORCID,Liu Aonan²,Xie Xiao³^ORCID,Guo Han⁴^ORCID,Xiong Hanjiang²^ORCID,Zheng Xianwei¹^ORCID

Affiliation:

1. Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen and the State Key Laboratory LIESMARS, Wuhan University, Wuhan, China

2. State Key Laboratory LIESMARS, Wuhan University, Wuhan, China

3. Key Laboratory for Environmental Computation and Sustainability of Liaoning Province, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, China

4. Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen, China

Funder

Open fund of Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

http://xplorestaging.ieee.org/ielx7/4609443/9973430/10131998.pdf?arnumber=10131998

Reference41 articles.