Imbalanced learning of remotely sensed data for bioenergy source identification in a forest in the Wallacea region of Indonesia-Reference-Cited by-同舟云学术

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Imbalanced learning of remotely sensed data for bioenergy source identification in a forest in the Wallacea region of Indonesia

Published:2023-10-23 Issue:11 Volume:14 Page:1117-1128
ISSN:2150-704X
Container-title:Remote Sensing Letters
language:en
Short-container-title:Remote Sensing Letters

Author:

Kurniawan Ibnu F.¹²^ORCID,He Fei¹,Dunggio Iswan³,Hamidun Marini S.³,Sirajuddin Zulham³,Aziz Muhammad⁴^ORCID,Asyhari A. Taufiq⁵^ORCID

Affiliation:

1. Centre for Computational Science and Mathematical Modelling, Coventry University, Coventry, UK

2. Department of Data Science, Universitas Negeri Surabaya, Surabaya, Indonesia

3. Wallacea Research Centre for Biodiversity Conservation and Climate Change, Universitas Negeri Gorontalo, Gorontalo, Indonesia

4. Institute of Industrial Science, The University of Tokyo, Tokyo, Japan

5. Data Science Department, Monash University, Tangerang, Indonesia

Funder

British Council

Directorate General of Higher Education, Research, and Technology, Indonesia

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Earth and Planetary Sciences (miscellaneous)

Link

https://www.tandfonline.com/doi/pdf/10.1080/2150704X.2023.2270107

Reference18 articles.

1. A systematic study of the class imbalance problem in convolutional neural networks

2. Cascade R-CNN: High Quality Object Detection and Instance Segmentation

3. On Supervised Class-Imbalanced Learning: An Updated Perspective and Some Key Challenges

4. Large Scale Palm Tree Detection In High Resolution Satellite Images Using U-Net

5. Deep Residual Learning for Image Recognition

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. Enhancing Detection of Remotely-Sensed Floating Objects via Data Augmentation for Maritime SAR;Journal of the Indian Society of Remote Sensing;2024-05-19

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