A High-Precision Recognition Method of Circular Marks Based on CMNet Within Complex Scenes
Author:
Affiliation:
1. College of Information Technology, Shanghai Ocean University, Shanghai, China
2. College of Surveying and Geo-Informatics, Tongji University, Shanghai, China
Funder
National Key R&D Program of China
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Atmospheric Science,Computers in Earth Sciences
Link
http://xplorestaging.ieee.org/ielx7/4609443/9656571/09844168.pdf?arnumber=9844168
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