JOURNAL ARTICLE

Hyperspectral Image Classification Based on Three-Dimensional Dilated Convolution and Graph Convolution

Abstract

Hyperspectral images with high dimensionality, strong inter-band correlation and high spectral resolution make the research of existing classification methods a great challenge. Typical convolutional neural network models cannot capture the feature information of irregular or inhomogeneous regions o

Keywords:
Hyperspectral imaging Convolution (computer science) Artificial intelligence Pattern recognition (psychology) Computer science Convolutional neural network Curse of dimensionality Graph Feature (linguistics) Contextual image classification Feature extraction Image (mathematics) Computer vision Remote sensing Artificial neural network Geology Theoretical computer science

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Topics

Remote Sensing and Land Use
Physical Sciences →  Earth and Planetary Sciences →  Atmospheric Science
Remote-Sensing Image Classification
Physical Sciences →  Engineering →  Media Technology

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