Hyperspectral image classification using 3D 2D CNN-Reference-Cited by-同舟云学术

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Hyperspectral image classification using 3D 2D CNN

Published:2020-12-29 Issue:5 Volume:15 Page:1083-1092
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET image process

Author:

Diakite Alou¹^ORCID,Jiangsheng Gui¹,Xiaping Fu²

Affiliation:

1. School of Information Science Zhejiang Sci‐Tech University Hangzhou China

2. Faculty of Mechanical Engineering and Automation Zhejiang Sci‐Tech University Hangzhou China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Zhejiang Province

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/ipr2.12087

Reference31 articles.

1. Jakjoud F. et al.:Deep learning application for plant diseases detection. In: Proceedings of the 4th International Conference on Big Data and Internet of Things. pp.1–6(2019).https://doi.org/10.1145/3372938.3372983

2. Fei B. et al.:Hyperspectral imaging and spectral‐spatial classification for cancer detection. In: 2012 5th International Conference on BioMedical Engineering and Informatics. pp.62–64. IEEE Chongqing China. (2012)

3. Global context based automatic road segmentation via dilated convolutional neural network

4. A Sensor-Fusion Drivable-Region and Lane-Detection System for Autonomous Vehicle Navigation in Challenging Road Scenarios

5. P.C. Mohanty 2016

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