Hierarchical Multi-Scale Convolutional Neural Networks for Hyperspectral Image Classification
Deep learning models combining spectral and spatial features have been proven to be effective for hyperspectral image (HSI) classification. However, most spatial feature integration methods only consider a single input spatial scale regardless of various shapes and sizes of objects over the image pl...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-04-01
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Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/19/7/1714 |