An Encoder–Decoder Convolution Network With Fine-Grained Spatial Information for Hyperspectral Images Classification

An Encoder–Decoder Convolution Network With Fine-Grained Spatial Information for Hyperspectral Images Classification

Convolutional Neural Network (CNN) is widely used in Hyperspectral Images (HSIs) classification. However, the fine-grained spatial (FGS) details are discarded during a sequence of convolution and pooling operations for most of CNN-based HSIs classification methods. To address this issue, a unified e...

Full description

Bibliographic Details
Main Authors: Zhongwei Li, Fangming Guo, Qi Li, Guangbo Ren, Leiquan Wang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Convolutional neural networks (CNNs)
encoder-decoder
hyperspectral image (HSI) classification
information fusion
Online Access:https://ieeexplore.ieee.org/document/8999570/

Similar Items

Similar Items