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Supervised learning with convolutional neural networks for hyperspectral visualization
- Source :
- Remote Sensing Letters. 11:363-372
- Publication Year :
- 2020
- Publisher :
- Informa UK Limited, 2020.
-
Abstract
- The Visualization for hyperspectral images is demanded by the ground processing system for quick view and information survey. Previous methods using band selection or dimension reduction fa...
- Subjects :
- 010504 meteorology & atmospheric sciences
business.industry
Computer science
Dimensionality reduction
Supervised learning
0211 other engineering and technologies
Hyperspectral imaging
Pattern recognition
02 engineering and technology
01 natural sciences
Convolutional neural network
Visualization
Band selection
Earth and Planetary Sciences (miscellaneous)
Artificial intelligence
Electrical and Electronic Engineering
business
021101 geological & geomatics engineering
0105 earth and related environmental sciences
Subjects
Details
- ISSN :
- 21507058 and 2150704X
- Volume :
- 11
- Database :
- OpenAIRE
- Journal :
- Remote Sensing Letters
- Accession number :
- edsair.doi...........c75f661dc574ba907079a375b7d7f8f7