Semi-Supervised Convolutional Long Short-Term Memory Neural Networks for Time Series Land Cover Classification

Semi-Supervised Convolutional Long Short-Term Memory Neural Networks for Time Series Land Cover Classification

Time series images with temporal features are beneficial to improve the classification accuracy. For abstract temporal and spatial contextual information, deep neural networks have become an effective method. However, there is usually a lack of sufficient samples in network training: one is the loss...

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Bibliographic Details
Main Authors: Jing Shen, Chao Tao, Ji Qi, Hao Wang
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Remote Sensing
Subjects:
image classification
Long Short-Term Memory neural network (LSTM)
remote sensing
semi-supervised learning
time series analysis
Online Access:https://www.mdpi.com/2072-4292/13/17/3504

Internet

https://www.mdpi.com/2072-4292/13/17/3504

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