Automatic Kernel Size Determination for Deep Neural Networks Based Hyperspectral Image Classification

Automatic Kernel Size Determination for Deep Neural Networks Based Hyperspectral Image Classification

Considering kernels in Convolutional Neural Networks (CNNs) as detectors for local patterns, K-means neural network proposes to cluster local patches extracted from training images and then fixate those kernels as the representative patches in each cluster without further training. Thus the amount o...

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Bibliographic Details
Main Authors: Chen Ding, Ying Li, Yong Xia, Lei Zhang, Yanning Zhang
Format: Article
Language:English
Published: MDPI AG 2018-03-01
Series:Remote Sensing
Subjects:
hyperspectral imagery
Convolutional Neural Networks
K-means
pre-learned kernels
automatic kernel size determination
Online Access:http://www.mdpi.com/2072-4292/10/3/415

Internet

http://www.mdpi.com/2072-4292/10/3/415

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