Hyperspectral image classification based on convolutional neural network and random forest
Author:
Affiliation:
1. Department of Measure & Control Technology, Harbin University of Science and Technology, Harbin, China
2. Department of Information Engineering, Harbin Institute of Technology, Harbin, China
Publisher
Informa UK Limited
Subject
Electrical and Electronic Engineering,Earth and Planetary Sciences (miscellaneous)
Link
https://www.tandfonline.com/doi/pdf/10.1080/2150704X.2019.1649736
Reference16 articles.
1. Hyperspectral Remote Sensing Data Analysis and Future Challenges
2. Hyperspectral imagery classification with deep metric learning
3. Rotation-Based Deep Forest for Hyperspectral Imagery Classification
4. Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups
5. Deep Convolutional Neural Networks for Hyperspectral Image Classification
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