A Convolutional Neural Network with Fletcher–Reeves Algorithm for Hyperspectral Image Classification

A Convolutional Neural Network with Fletcher–Reeves Algorithm for Hyperspectral Image Classification

Deep learning models, especially the convolutional neural networks (CNNs), are very active in hyperspectral remote sensing image classification. In order to better apply the CNN model to hyperspectral classification, we propose a CNN model based on Fletcher−Reeves algorithm (F−R...

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Bibliographic Details
Main Authors: Chen Chen, Yi Ma, Guangbo Ren
Format: Article
Language:English
Published: MDPI AG 2019-06-01
Series:Remote Sensing
Subjects:
convolutional neural network (CNN)
Fletcher–Reeves algorithm (F–R)
conjugate gradient
coastal wetland classification
hyperspectral imagery
Online Access:https://www.mdpi.com/2072-4292/11/11/1325

Internet

https://www.mdpi.com/2072-4292/11/11/1325

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