Vehicle Counting in Very Low-Resolution Aerial Images via Cross-Resolution Spatial Consistency and Intraresolution Time Continuity

Author:

Zhao Quan1ORCID,Xiao Jing2ORCID,Wang Zheng2ORCID,Ma Xujie3,Wang Mi1ORCID,Satoh Shin'ichi3ORCID

Affiliation:

1. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China

2. School of Computer Science, Wuhan University, Wuhan, China

3. Digital Content and Media Sciences Research Division, National Institute of Informatics, Tokyo, Japan

Funder

National Science Foundation of China Distinguished Young Scholars Program

Sumitomo Mitsui DS Asset Management Company, Ltd

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Semantic Communication-Empowered Vehicle Count Prediction for Traffic Management;2024 IEEE Wireless Communications and Networking Conference (WCNC);2024-04-21

2. Balanced Density Regression Network for Remote Sensing Object Counting;IEEE Transactions on Geoscience and Remote Sensing;2024

3. Luojia 3-01 Satellite—Real-Time Intelligent Service System for Remote Sensing Science Experiment Satellite;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

4. Few-Shot Object Counting With Dynamic Similarity-Aware in Latent Space;IEEE Transactions on Geoscience and Remote Sensing;2024

5. Hierarchical Kernel Interaction Network for Remote Sensing Object Counting;IEEE Transactions on Geoscience and Remote Sensing;2024

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