Research on hyperspectral image classification based on improved deep cross-domain few-shot learning

Author:

Luo Xinhua1ORCID,Wang Qingyan1ORCID,Liang Xintao1ORCID,Zhang Zhen1ORCID

Affiliation:

1. School of Measurement-Control and Communication Engineering, Harbin University of Science and Technology, China

Funder

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Publisher

ACM

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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