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Optimal Parameter Selection in Hyperspectral Classification Based on Convolutional Neural Network
- Source :
- International Conference on Frontiers of Signal Processing, International Conference on Frontiers of Signal Processing, 2019, Marseille, France
- Publication Year :
- 2019
- Publisher :
- HAL CCSD, 2019.
-
Abstract
- Classification is a key technique in hyperspectral image (HSI) applications. Deep learning algorithms, which exhibit strong modeling and representational capabilities, have been successfully adopted in fields such as image and language processing. And convolutional neural networks (CNNs) have been used for HSI classification and some interesting results have been obtained. Owing to local connection and weight sharing, the number of parameters is reduced to some extent, but there are still many parameters and the deeper the network, the larger is the number of parameters. The network performance is strongly influenced by the parameter settings. To obtain the optimal CNN parameters for HSI classification, this paper proposes a classification method based on a CNN with parameter tuning (CNN-PT). The network parameters are tuned in turn according to the unique variable principle. Simulation results show that the proposed CNN-PT method has considerable potential for HSI classification compared to previous methods.
- Subjects :
- Computer science
Estimation theory
business.industry
[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing
Deep learning
Computer Science::Neural and Evolutionary Computation
0211 other engineering and technologies
Hyperspectral imaging
020206 networking & telecommunications
Pattern recognition
02 engineering and technology
Convolutional neural network
Image (mathematics)
Variable (computer science)
[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing
[INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR]
0202 electrical engineering, electronic engineering, information engineering
Key (cryptography)
Network performance
Artificial intelligence
[INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR]
business
ComputingMilieux_MISCELLANEOUS
021101 geological & geomatics engineering
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- International Conference on Frontiers of Signal Processing, International Conference on Frontiers of Signal Processing, 2019, Marseille, France
- Accession number :
- edsair.doi.dedup.....1191b4c2d0e364ca6fa8d93c6b0a1bf6