Lightweight Cross-Modal Information Measure and Propagation for Road Extraction From Remote Sensing Image and Trajectory/LiDAR-Reference-Cited by-同舟云学术

Lightweight Cross-Modal Information Measure and Propagation for Road Extraction From Remote Sensing Image and Trajectory/LiDAR

Published:2024 Issue: Volume:62 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:

Qiu Yu¹^ORCID,Lin Chenyu¹,Mei Jie²^ORCID,Sun Yuhang¹^ORCID,Lu Haotian¹,Xu Jing¹^ORCID

Affiliation:

1. National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, College of Artificial Intelligence, Nankai University, Tianjin, China

2. National Engineering Research Center of Robot Visual Perception and Control Technology, School of Robotics, Hunan University, Changsha, China

Funder

China Postdoctoral Science Foundation

China National Postdoctoral Program for Innovative Talents

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/36/10354519/10493850.pdf?arnumber=10493850

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4. An Integrated Method for Urban Main-Road Centerline Extraction From Optical Remotely Sensed Imagery

5. Extracting roads based on Gauss Markov random field texture model and support vector machine from high-resolution RS image;Wang;IEEE Trans. Geosci. Remote Sens.,2005