A review of remote sensing image segmentation by deep learning methods-Reference-Cited by-同舟云学术

A review of remote sensing image segmentation by deep learning methods

Published:2024-03-18 Issue:1 Volume:17 Page:
ISSN:1753-8947
Container-title:International Journal of Digital Earth
language:en
Short-container-title:International Journal of Digital Earth

Author:

Li Jiangyun¹²³,Cai Yuanxiu¹²^ORCID,Li Qing¹²,Kou Mingyin⁴,Zhang Tianxiang¹²³^ORCID

Affiliation:

1. School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, People's Republic of China

2. Key Laboratory of Knowledge Automation for Industrial Processes, Ministry of Education, Beijing, People's Republic of China

3. Shunde Innovation School, University of Science and Technology Beijing, Foshan, People's Republic of China

4. State Key Laboratory of Advanced Metallurgy, University of Science and Technology Beijing, Beijing People's Republic of China

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/17538947.2024.2328827

Reference176 articles.

1. Tomato plant disease detection using transfer learning with C-GAN synthetic images

2. Transformers in Remote Sensing: A Survey

3. Detection of Changes in Surface Water Bodies Urban Area with NDWI and MNDWI Methods

4. IEEE Transactions on Pattern Analysis and Machine Intelligence

5. Domain Adaptation for Remote Sensing Image Semantic Segmentation: An Integrated Approach of Contrastive Learning and Adversarial Learning;Bai Lubin;IEEE Transactions on Geoscience and Remote Sensing,2022

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