Comparison of support vector machine, artificial neural networks and spectral angle mapper classifiers on fused hyperspectral data for improved LULC classification
Current Language EN
English English Türkçe Türkçe Español Español Português Português Pусский Pусский Filipino Filipino Tiếng Việt Tiếng Việt हिन्दी हिन्दी العربية العربية বাংলা বাংলা Deutsch Deutsch 中文 中文

Comparison of support vector machine, artificial neural networks and spectral angle mapper classifiers on fused hyperspectral data for improved LULC classification

Sahithi, V.
2019 8th international conference on modeling simulation and applied optimization, icmsao 2019 2019 pp. 0-0
275
sahithi2019comparison2019

Access

DOI:
10.1109/ICMSAO.2019.8880336

Citation

ID: 74008
Ref Key: sahithi2019comparison2019
Use this key to autocite in SciMatic or Thesis Manager

References

References

No Bibliography

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
74008
Unique Identifier:
10.1109/ICMSAO.2019.8880336
Network:
Scimatic Chain (ID: 481)
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
4/5
Blockchain Upload Locked

Complete all 5 checklist items to tokenize your article

Gas fees required in SCI Coins
Buy SCI

Saymatik Web3.0 Wallet

Google Play
App Store