AL-MRIS: An Active Learning-Based Multipath Residual Involution Siamese Network for Few-Shot Hyperspectral Image Classification

AL-MRIS: An Active Learning-Based Multipath Residual Involution Siamese Network for Few-Shot Hyperspectral Image Classification

In hyperspectral image (HSI) classification scenarios, deep learning-based methods have achieved excellent classification performance, but often rely on large-scale training datasets to ensure accuracy. However, in practical applications, the acquisition of hyperspectral labeled samples is time cons...

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Bibliographic Details
Main Authors: Jinghui Yang, Jia Qin, Jinxi Qian, Anqi Li, Liguo Wang
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Remote Sensing
Subjects:
hyperspectral image classification
Siamese network
active learning
few-shot samples
involution
Online Access:https://www.mdpi.com/2072-4292/16/6/990

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https://www.mdpi.com/2072-4292/16/6/990

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