Modelling-Based Feature Selection for Classification of Forest Structure Using Very High Resolution Multispectral Imagery-Reference-Cited by-同舟云学术

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Modelling-Based Feature Selection for Classification of Forest Structure Using Very High Resolution Multispectral Imagery

Published:2013-10 Issue: Volume: Page:
ISSN:
Container-title:2013 IEEE International Conference on Systems, Man, and Cybernetics
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Author:

Beguet Benoit,Boukir Samia,Guyon Dominique,Chehata Nesrine

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/6689802/6721750/06722485.pdf?arnumber=6722485

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. Hypothesis Margin-Based Ensemble Method for the Classification of Noisy Remote Sensing Data;IEEE Transactions on Geoscience and Remote Sensing;2023

2. Potential of Multi-scale Completed Local Binary Pattern for Object Based Classification of Very High Spatial Resolution Imagery;Journal of the Indian Society of Remote Sensing;2021-02-08

3. An unsupervised two-stage clustering approach for forest structure classification based on X-band InSAR data — A case study in complex temperate forest stands;International Journal of Applied Earth Observation and Geoinformation;2017-05

4. Data Fusion for Evaluation of Woodland Parameters;Intelligent Systems Reference Library;2017

5. Supervised Classification of Very High Resolution Optical Images Using Wavelet-Based Textural Features;IEEE Transactions on Geoscience and Remote Sensing;2016-06

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