Multi-class change detection of remote sensing images based on class rebalancing-Reference-Cited by-同舟云学术

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Multi-class change detection of remote sensing images based on class rebalancing

Published:2022-08-08 Issue:1 Volume:15 Page:1377-1394
ISSN:1753-8947
Container-title:International Journal of Digital Earth
language:en
Short-container-title:International Journal of Digital Earth

Author:

Tang Huakang¹²,Wang Honglei¹²,Zhang Xiaoping³

Affiliation:

1. School of Electrical Engineering, Guizhou University, Guiyang, People’s Republic of China

2. Key Laboratory of “Internet+” Collaborative Intelligent Manufacturing, Guizhou Province, Guiyang, People’s Republic of China

3. Science and Technology Department, Guizhou Province, Guiyang, People’s Republic of China

Funder

Guizhou Science and Technology Cooperation Program

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences,Computer Science Applications,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/17538947.2022.2108921

Reference54 articles.

1. Change detection techniques for remote sensing applications: a survey

2. SAR polarimetric change detection for flooded vegetation

3. Disparity map enhancement in pixel based stereo matching method using distance transform

4. Object-based change detection

Cited by 4 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. Global structure graph mapping for multimodal change detection;International Journal of Digital Earth;2024-05-09

2. Integrating bi-temporal VHR optical and long-term SAR images for built-up area change detection;International Journal of Digital Earth;2024-02-20

3. A Multi-Task Consistency Enhancement Network for Semantic Change Detection in HR Remote Sensing Images and Application of Non-Agriculturalization;Remote Sensing;2023-10-25

4. Convolutional Autoencoder for Remote Sensing Change Detection;Springer Proceedings in Earth and Environmental Sciences;2023

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