Hierarchical Spatial-Spectral Feature Extraction with Long Short Term Memory (LSTM) for Mineral Identification Using Hyperspectral Imagery

Hierarchical Spatial-Spectral Feature Extraction with Long Short Term Memory (LSTM) for Mineral Identification Using Hyperspectral Imagery

Deep learning models are widely employed in hyperspectral image processing to integrate both spatial features and spectral features, but the correlations between them are rarely taken into consideration. However, in hyperspectral mineral identification, not only the spectral and spatial features of...

Full description

Bibliographic Details
Main Authors: Huijie Zhao, Kewang Deng, Na Li, Ziwei Wang, Wei Wei
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Sensors
Subjects:
feature extraction
mineral identification
hyperspectral imagery
convolutional neural network (CNN)
long short term memory (LSTM)
Online Access:https://www.mdpi.com/1424-8220/20/23/6854

Internet

https://www.mdpi.com/1424-8220/20/23/6854

Similar Items