Adaptive Spatial-Spectral Feature Learning for Hyperspectral Image Classification

Adaptive Spatial-Spectral Feature Learning for Hyperspectral Image Classification

The combination of spectral and spatial information provides an effective way to improve the hyperspectral image (HSI) classification. However, the local spatial contexture changes with different neighborhood regions over the HSI image plane, and methods with fixed weights to integrate spatial infor...

Full description

Bibliographic Details
Main Authors: Simin Li, Xueyu Zhu, Yang Liu, Jie Bao
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Adaptive spatial-spectral features
convolutional neural network (CNN)
hyperspectral image (HSI) classification
stacked auto-encoder (SAE)
Online Access:https://ieeexplore.ieee.org/document/8712459/

Internet

https://ieeexplore.ieee.org/document/8712459/

Similar Items