A Novel Deep Multi-Instance Convolutional Neural Network for Disaster Classification From High-Resolution Remote Sensing Images-Reference-Cited by-同舟云学术

A Novel Deep Multi-Instance Convolutional Neural Network for Disaster Classification From High-Resolution Remote Sensing Images

Published:2024 Issue: Volume:17 Page:2098-2114
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Li Chengfan¹^ORCID,Zhang Zixuan¹^ORCID,Liu Lan²^ORCID,Kim Jung Yoon³^ORCID,Sangaiah Arun Kumar⁴^ORCID

Affiliation:

1. School of Computer Engineering and Science, Shanghai University, Shanghai, China

2. School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai, China

3. College of Future Industry, Gachon University, Seongnam-Si, Gyeonggi-do, South Korea

4. International Graduate School of Artificial Intelligence, National Yunlin University of Science and Technology, Douliu, Taiwan

Funder

Natural Science Foundation of Shanghai

Key Laboratory of National Geographic Census and Monitoring

Ministry of Natural Resources, Wuhan University

Shanghai Foundation for Development of Science and Technology

Key Laboratory for Digital Land and Resources of Jiangxi Province

East China Institute of Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

Reference47 articles.

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