Dynamic Data Augmentation Method for Hyperspectral Image Classification Based on Siamese Structure

Dynamic Data Augmentation Method for Hyperspectral Image Classification Based on Siamese Structure

At present, deep learning classification researches of hyperspectral usually focus on optimizing the classification model. In essence, most of them did not take special measures for the characteristics of the small sample and imbalanced category distribution of hyperspectral itself. Aiming at the pr...

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Bibliographic Details
Main Authors: Hongmin Gao, Junpeng Zhang, Xueying Cao, Zhonghao Chen, Yiyan Zhang, Chenming Li
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Convolutional neural network (CNN)
data augmentation (DA)
hyperspectral (HSI) classification
Siamese structure
Online Access:https://ieeexplore.ieee.org/document/9508179/

Internet

https://ieeexplore.ieee.org/document/9508179/

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