Research on hyperspectral image classification based on improved deep cross-domain few-shot learning
Author:
Affiliation:
1. School of Measurement-Control and Communication Engineering, Harbin University of Science and Technology, China
Funder
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Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3638682.3638692
Reference18 articles.
1. Backpropagation applied to handwritten zip code recognition;ECUN;Neural computation,1989
2. Deep Fully Convolutional Network-Based Spatial Distribution Prediction for Hyperspectral Image Classification;JIAO;IEEE Transactions on Geoence and Remote Sensing
3. Learning Sensor-Specific Spatial-Spectral Features of Hyperspectral Images via Convolutional Neural Networks
4. Learning and transferring deep joint spectral–spatial features for hyperspectral classification;YANG;IEEE Transactions on Geoscience and Remote Sensing.
5. Domain Adaptation for the Classification of Remote Sensing Data: An Overview of Recent Advances;ELLO;IEEE Geoence & Remote Sensing Magazine,2016
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