Researching | Flame Image Detection Method Based on Deep Learning with Maximal Relevance and Minimal Redundancy

Journals >Laser & Optoelectronics Progress >Volume 57 >Issue 10 >Page 101015 > Article

Laser & Optoelectronics Progress
Vol. 57, Issue 10, 101015 (2020)

Flame Image Detection Method Based on Deep Learning with Maximal Relevance and Minimal Redundancy

Zirui Li, Huiqin Wang^*, Yan Hu, and Ying Lu

Author Affiliations

School of Information and Control Engineering, Xi'an University of Architecture and Technology, Xi'an, Shaanxi 710055, China

show less

DOI: 10.3788/LOP57.101015 Cite this Article Set citation alerts

Zirui Li, Huiqin Wang, Yan Hu, Ying Lu. Flame Image Detection Method Based on Deep Learning with Maximal Relevance and Minimal Redundancy[J]. Laser & Optoelectronics Progress, 2020, 57(10): 101015 Copy Citation Text

show less

Cited By

Article index updated: May. 19, 2024

Citation counts are provided from Researching.

The article is cited by 3 article(s) from Researching.

Get PDF(in Chinese)

Figures&Tables (13)

References (23)

Copy Citation Text

Zirui Li, Huiqin Wang, Yan Hu, Ying Lu. Flame Image Detection Method Based on Deep Learning with Maximal Relevance and Minimal Redundancy[J]. Laser & Optoelectronics Progress, 2020, 57(10): 101015

Download Citation

Set citation alerts for the article

Set citation alerts for the article

Save the article for my favorites

Paper Information

Recommended Topics

laser devices and laser physics

Lasers and Laser Optics

laser manufacturing

Instrumentation, Measurement and Metrology

Set citation alerts for the article

Please enter your email address