Semi-supervised Classification of Hyperspectral Image through Deep Encoder-Decoder and Graph Neural Networks

2021 ◽  
Author(s):  
Refka Hanachi ◽  
Akrem Sellami ◽  
Imed Riadh Farah ◽  
Mauro Dalla Mura
Keyword(s):  
Neural Networks ◽  
Supervised Classification ◽  
Hyperspectral Image ◽  
Graph Neural Networks

scholarly journals Overview of Hyperspectral Image Classification

2020 ◽  
Vol 2020 ◽  
pp. 1-13 ◽  
Author(s):  
Wenjing Lv ◽  
Xiaofei Wang
Keyword(s):  
Supervised Classification ◽  
Hyperspectral Image ◽  
Unsupervised Classification ◽  
Hyperspectral Images ◽  
Hyperspectral Image Classification ◽  
Remote Sensing Technology ◽  
Sensing Technology ◽  
Good Classification ◽  
Semisupervised Classification

With the development of remote sensing technology, the application of hyperspectral images is becoming more and more widespread. The accurate classification of ground features through hyperspectral images is an important research content and has attracted widespread attention. Many methods have achieved good classification results in the classification of hyperspectral images. This paper reviews the classification methods of hyperspectral images from three aspects: supervised classification, semisupervised classification, and unsupervised classification.

A performance comparison between shallow and deeper neural networks supervised classification of tomosynthesis breast lesions images

2019 ◽  
Vol 53 ◽  
pp. 3-19 ◽  
Author(s):  
Vitoantonio Bevilacqua ◽  
Antonio Brunetti ◽  
Andrea Guerriero ◽  
Gianpaolo Francesco Trotta ◽  
Michele Telegrafo ◽  
...  
Keyword(s):  
Neural Networks ◽  
Supervised Classification ◽  
Performance Comparison ◽  
Breast Lesions ◽  
A Performance
Sign in / Sign up

Export Citation Format

Share Document