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Improved UAV Scene Matching Algorithm Based on CenSurE Features and FREAK Descriptor

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成果类型:
期刊论文、会议论文
作者:
Chenglong Wang;Tangle Peng;Longzhi Hu;Guanjun Liu
通讯作者:
Wang, C.
作者机构:
[Peng T.; Liu G.; Wang C.] College of Computer Science and Technology, Hengyang Normal University, Hengyang, 421002, China
[Hu L.] Zhongxing Telecommunication Equipment Corporation, Shenzhen, 518000, China
通讯机构:
[Wang, C.] C
College of Computer Science and Technology, China
语种:
英文
关键词:
CenSurE features;FREAK descriptor;Unmanned aerial vehicle scene matching algorithm
期刊:
Advances in Intelligent Systems and Computing
ISSN:
2194-5357
年:
2021
卷:
1274
页码:
158-167
会议名称:
10th International Conference on Computer Engineering and Networks, CENet 2020
会议论文集名称:
The 10th International Conference on Computer Engineering and Networks
会议时间:
16 October 2020 through 18 October 2020
主编:
Qi Liu<&wdkj&>Xiaodong Liu<&wdkj&>Tao Shen<&wdkj&>Xuesong Qiu
出版者:
Springer, Singapore
ISBN:
978-981-15-8461-9
机构署名:
本校为第一机构
院系归属:
计算机科学与技术学院
摘要:
The traditional local invariant features scene matching algorithms have many redundant points, poor real-time and Low anti-geometric transformation. So we propose an unmanned aerial vehicle scene matching algorithm based on CenSurE features and FREAK descriptor. Steps of the algorithm are as follows: use the CenSurE-star operator to extract the feature points, calculate feature vectors by FREAK descriptors, then complete matching process through KNN ratio method, finally use RANSAC location model to get image transform relations, latitude and l...

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