Deep Learning for Hyperspectral Image Classification: A Critical Evaluation via Mutation Testing

Deep Learning for Hyperspectral Image Classification: A Critical Evaluation via Mutation Testing

Recently, there has been a surge in the adoption of deep learning (DL) techniques, especially convolutional neural networks (CNNs), to perform hyperspectral image (HSI) classification. Although deep learners have been shown to achieve impressive performance in HSI classification, they are known to b...

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Bibliographic Details
Main Authors: Zhifei Chen, Yang Hao, Qichao Liu, Yuyong Liu, Mingyang Zhu, Liang Xiao
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Remote Sensing
Subjects:
deep learning
hyperspectral image classification
mutation testing
model robustness
Online Access:https://www.mdpi.com/2072-4292/16/24/4695
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