Spectral Classification of a Set of Hyperspectral Images using the Convolutional Neural Network, in a Single Training
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2019, Vol 10, Issue 6
Abstract
Hyperspectral imagery has seen a great evolution in recent years. Consequently, several fields (medical, agriculture, geosciences) need to make the automatic classification of these hyperspectral images with a high rate and in an acceptable time. The state-of-the-art presents several classification algorithms based on the Convolutional Neural Network (CNN) and each algorithm is training on a part of an image and then performs the prediction on the rest. This article proposes a new Fast Spectral classification algorithm based on CNN, and which allows to build a composite image from multiple hyperspectral images, then trains the model only once on the composite image. After training, the model can predict each image separately. To test the validity of the proposed algorithm, two free hyperspectral images are taken, and the training time obtained by the proposed model on the composite image is better than the time obtained from the model of the state-of-the-art.
Authors and Affiliations
Abdelali Zbakh, Zoubida Alaoui Mdaghri, Abdelillah Benyoussef, Abdellah El Kenz, Mourad El Yadari
Keywords
Related Articles
- EP ID EP596774
- DOI 10.14569/IJACSA.2019.0100634
- Views 122
- Downloads 0
Multi-Objective Optimization Algorithm to the Analyses of Diabetes Disease Diagnosis
There is huge amount of data available in health industry which is found difficult in handing, hence mining of data is necessary to innovate the hidden patterns and their relevant features. Recently, many researchers hav...
Malware Detection in Cloud Computing
Antivirus software is one of the most widely used tools for detecting and stopping malicious and unwanted files. However, the long term effect of traditional host based antivirus is questionable. Antivirus software fails...
Optimizing the Behaviour of Web Users Through Expectation Maximization Algorithm and Mixture of Normal Distributions
The proposed work is to analyse the user’s behaviour in web access. Worldwide, the web users are browsing through different websites every second. Aim of this paper is to identify the behaviour of user's in a time bound...
A New Parallel Matrix Multiplication Algorithm on Tree-Hypercube Network using Iman1 Supercomputer
The tree-hypercube (TH) interconnection network is relatively a new interconnection network, which is constructed from tree and hypercube topologies. TH is developed to support parallel algorithms for solving computation...
Towards Privacy Preserving Commutative Encryption-Based Matchmaking in Mobile Social Network
The last decade or so has witnessed a sharp rise in the growth of mobile devices. These mobile devices and wireless communication technologies enable people around the globe to instantaneously communicate with each other...