Deep Feature Alignment Neural Networks for Domain Adaptation of Hyperspectral Data.
IEEE Transactions on Geoscience and Remote Sensing(2018)
摘要
Deep neural networks have been shown to be useful for the classification of hyperspectral images, particularly when a large amount of labeled data is available. However, we may not have enough reference data to train a deep neural network for many practical geospatial image analysis applications. To address this issue, in this paper, we propose to use a deep feature alignment neural network to car...
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关键词
Feature extraction,Hyperspectral imaging,Neural networks,Adaptation models,Training data,Machine learning
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