Spatial Sequential Recurrent Neural Network for Hyperspectral Image Classification.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing(2018)
摘要
In hyperspectral image processing, classification is one of the most popular research topics. In recent years, research progress made in deep-learning-based hierarchical feature extraction and classification has shown a great power in many applications. In this paper, we propose a novel local spatial sequential (LSS) method, which is used in a recurrent neural network (RNN). Using this model, we c...
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关键词
Feature extraction,Recurrent neural networks,Machine learning,Hyperspectral imaging,Computer architecture,Feedforward neural networks
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