Spatial Sequential Recurrent Neural Network for Hyperspectral Image Classification.

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing(2018)

引用 97|浏览33
暂无评分
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...
更多
查看译文
关键词
Feature extraction,Recurrent neural networks,Machine learning,Hyperspectral imaging,Computer architecture,Feedforward neural networks
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要