Information Leakage in Deep Learning-Based Hyperspectral Image Classification: A Survey

In deep learning-based hyperspectral remote sensing image classification tasks, random sampling strategies are typically used to train model parameters for testing and evaluation. However, this approach leads to strong spatial autocorrelation between the training set samples and the surrounding test...

Full description

Bibliographic Details
Main Authors: Hao Feng, Yongcheng Wang, Zheng Li, Ning Zhang, Yuxi Zhang, Yunxiao Gao
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/15/15/3793