River Detection in Remote Sensing Images Based on Multi-Feature Fusion and Soft Voting-Reference-Cited by-同舟云学术

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River Detection in Remote Sensing Images Based on Multi-Feature Fusion and Soft Voting

Published:2018 Issue:6 Volume:38 Page:0628002
ISSN:0253-2239
Container-title:Acta Optica Sinica
language:en
Short-container-title:光学学报

Author:

Zhang Qingchun 张庆春,Tong Guofeng 佟国峰,Li Yong 李勇,Gao Liwei 高丽伟,Chen Huairong 陈槐嵘

Publisher

Shanghai Institute of Optics and Fine Mechanics

Subject

Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Cited by 6 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. Tree Species Classification over Cloudy Mountainous Regions by Spatiotemporal Fusion and Ensemble Classifier;Forests;2023-01-05

2. An Improved Region Growing Algorithm for River Extraction from Remote Sensing Images;2022 IEEE 2nd International Conference on Electronic Technology, Communication and Information (ICETCI);2022-05-27

3. Deblurring Processing Method for Pixel Level Change Detection of SAR Images;Laser & Optoelectronics Progress;2020

4. Feature Selection Algorithms of Airborne LiDAR Combined with Hyperspectral Images Based on XGBoost;CHIN J LASERS;2019

5. Boosting Quality of Pansharpened Images Using Deep Residual Denoising Network;Laser & Optoelectronics Progress;2019

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