Deep Multilayer Fusion Dense Network for Hyperspectral Image Classification

Deep Multilayer Fusion Dense Network for Hyperspectral Image Classification

Deep spectral-spatial features fusion has become a research focus in hyperspectral image (HSI) classification. However, how to extract more robust spectral-spatial features is still a challenging problem. In this article, a novel deep multilayer fusion dense network (MFDN) is proposed to improve the...

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Bibliographic Details
Main Authors: Zhaokui Li, Tianning Wang, Wei Li, Qian Du, Chuanyun Wang, Cuiwei Liu, Xiangbin Shi
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Deep learning
densely connected convolutional neural network
hyperspectral image (HSI) classification
multilayer feature fusion
Online Access:https://ieeexplore.ieee.org/document/9050922/

Internet

https://ieeexplore.ieee.org/document/9050922/

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