Application of Isolated Forest Algorithm in Deep Learning Change Detection of High Resolution Remote Sensing Image-Reference-Cited by-同舟云学术

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Application of Isolated Forest Algorithm in Deep Learning Change Detection of High Resolution Remote Sensing Image

Published:2020-06 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA)
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Author:

Zhang Wenchun,Fan Hongyang

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9169742/9181849/09181873.pdf?arnumber=9181873

Cited by 7 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 CNN- and Transformer-Based Dual-Branch Network for Change Detection with Cross-Layer Feature Fusion and Edge Constraints;Remote Sensing;2024-07-13

2. Multi-scale Feature Fusion Network with Transformer for Change Detection of Remote Sensing Images;2024 7th International Symposium on Autonomous Systems (ISAS);2024-05-07

3. How Does Super-Resolution for Satellite Imagery Affect Different Types of Land Cover? Sentinel-2 Case;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

4. A Light-Weight Neural Network Using Multiscale Hybrid Attention for Building Change Detection;Sustainability;2023-02-11

5. Data Augmentation and Few-Shot Change Detection in Forest Remote Sensing;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2023

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