Review paper
A survey: Deep learning for hyperspectral image classification with few labeled samples
Abstract
With the rapid development of deep learning technology and improvement in computing capability, deep learning has been widely used in the field of hyperspectral image (HSI) classification. In general, deep learning models often contain many trainable parameters and require a massive number of labeled samples to achieve optimal performance. However, in regard to HSI classification, a large number of labeled samples is generally difficult to...
Paper Details
Title
A survey: Deep learning for hyperspectral image classification with few labeled samples
Published Date
Mar 23, 2021
Journal
Volume
448
Pages
179 - 204