Weakly Supervised Classification of Hyperspectral Image Based on Complementary Learning

In recent years, supervised learning-based methods have achieved excellent performance for hyperspectral image (HSI) classification. However, the collection of training samples with labels is not only costly but also time-consuming. This fact usually causes the existence of weak supervision, includi...

Popoln opis

Bibliografske podrobnosti

Principais autores:	Lingbo Huang, Yushi Chen, Xin He
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2021-12-01
Serija:	Remote Sensing
Teme:	complementary learning convolutional neural network (CNN) deep learning hyperspectral image classification weakly supervised learning
Online dostop:	https://www.mdpi.com/2072-4292/13/24/5009
Oznake:	Označite Brez oznak, prvi označite!