A Lightweight Remote Sensing Image Model of Natural Disaster Based on Knowledge Distillation

Author:

Zhang Xiaohan1ORCID,Wang Haijing2ORCID,Tian Ruipeng3ORCID,Cao Xuyang4ORCID,Ding Wei5ORCID

Affiliation:

1. Qilu University of Technology (Shandong Academy of Sciences), China

2. Nanjing University of Posts and Telecommunications, China

3. Qingdao Huanghai University, China

4. Hainan Normal University, China

5. Shandong Computer Science Center (National Supercomputer Center in Jinan), China and Qilu University of Technology (Shandong Academy of Sciences), China

Funder

The Outstanding Cultivation and Improvement Program of Qilu University of Technology (Shandong Academy of Sciences) ?Management and Query of Mobile Multimedia Data for Domestic Platforms?

The 2023 Undergraduate Innovation and Entrepreneurship Cultivation Project of Qilu University of Technology (Shandong Academy of Sciences)

Publisher

ACM

Reference20 articles.

1. Joyce K. Belliss S. Samsonov S. McNeill S. and Glassey P. 2009. A review of the status of satellite remote sensing and image processing techniques for mapping natural hazards and disasters.Progress in physical geography vol.33.2 183-207. Joyce K. Belliss S. Samsonov S. McNeill S. and Glassey P. 2009. A review of the status of satellite remote sensing and image processing techniques for mapping natural hazards and disasters.Progress in physical geography vol.33.2 183-207.

2. Eguchi , R. , Huyck , C. , Ghosh , S. , and Adams , B . 2008,. The application of remote sensing technologies for disaster management . In The 14th World Conference on Earthquake Engineering Vol. 17 . Eguchi, R., Huyck, C., Ghosh, S., and Adams, B. 2008,. The application of remote sensing technologies for disaster management. In The 14th World Conference on Earthquake Engineering Vol. 17.

3. Joyce K Wright K. Samsonov S. and Ambrosia V. 2009. Remote sensing and the disaster management cycle.Advances in geoscience and remote sensing vol.48 7. 317-346. Joyce K Wright K. Samsonov S. and Ambrosia V. 2009. Remote sensing and the disaster management cycle.Advances in geoscience and remote sensing vol.48 7. 317-346.

4. Qiu T. Liang X. Du Q. Ren F. Lu P. and Wu C. 2021. Techniques for the automatic detection and hiding of sensitive targets in emergency mapping based on remote sensing data.ISPRS International Journal of Geo-Information vol 10.2 68. Qiu T. Liang X. Du Q. Ren F. Lu P. and Wu C. 2021. Techniques for the automatic detection and hiding of sensitive targets in emergency mapping based on remote sensing data.ISPRS International Journal of Geo-Information vol 10.2 68.

5. VVS: Fast Similarity Measuring of FoV-Tagged Videos

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