A Review and a Perspective of Deep Active Learning for Remote Sensing Image Analysis: Enhanced adaptation to user conjecture-Reference-Cited by-同舟云学术

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A Review and a Perspective of Deep Active Learning for Remote Sensing Image Analysis: Enhanced adaptation to user conjecture

Published:2024 Issue: Volume: Page:2-26
ISSN:2168-6831
Container-title:IEEE Geoscience and Remote Sensing Magazine
language:
Short-container-title:IEEE Geosci. Remote Sens. Mag.

Author:

Ghozatlou Omid¹^ORCID,Datcu Mihai¹^ORCID,Focsa Adrian²^ORCID,Heredia Conde Miguel³^ORCID,Ullo Silvia Liberata⁴^ORCID

Affiliation:

1. Center for Spatial Information, National University of Science and Technology POLITEHNICA of Bucharest, Bucharest, Romania

2. Military Technical Academy “Ferdinand I,”, Bucharest, Romania

3. Institute for High-Frequency and Communication Technology, University of Wuppertal, Wuppertal, Germany

4. Department of Engineering, University of Sannio, Benevento, Italy

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6245518/8976286/10549792.pdf?arnumber=10549792

Cited by 1 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. A Comprehensive Survey on Resource Management in 6G Network Based on Internet of Things;IEEE Access;2024

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