Mining Hierarchical Information of CNNs for Scene Classification of VHR Remote Sensing Images-Reference-Cited by-同舟云学术

Mining Hierarchical Information of CNNs for Scene Classification of VHR Remote Sensing Images

Published:2023-04-01 Issue:2 Volume:9 Page:542-554
ISSN:2332-7790
Container-title:IEEE Transactions on Big Data
language:
Short-container-title:IEEE Trans. Big Data

Author:

Xu Kejie¹^ORCID,Deng Peifang¹,Huang Hong²^ORCID

Affiliation:

1. Key Laboratory of Optoelectronic Technology and Systems of the Education Ministry of China, Chongqing University, Chongqing, China

2. Key Laboratory of Optoelectronic Technology and Systems of the Education Ministry of China, State Key Laboratory of Coal Mine Disaster Dynamics and Control, Chongqing University, Chongqing, China

Funder

National Natural Science Foundation of China

Innovation Program for Chongqing Overseas Returnees

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Information Systems and Management,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/6687317/10068313/09850375.pdf?arnumber=9850375

Reference73 articles.

1. Tensor Canonical Correlation Analysis Networks for Multi-view Remote Sensing Scene Recognition

2. Dynamic Head: Unifying Object Detection Heads with Attentions

3. Predicting Forest Fire Using Remote Sensing Data And Machine Learning

4. End-to-End Learning for Joint Image Demosaicing, Denoising and Super-Resolution

5. Remote Sensing Image Scene Classification Meets Deep Learning: Challenges, Methods, Benchmarks, and Opportunities

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