Real-Time Forest Fire Detection Framework Based on Artificial Intelligence Using Color Probability Model and Motion Feature Analysis
As part of the early warning system, forest fire detection has a critical role in detecting fire in a forest area to prevent damage to forest ecosystems. In this case, the speed of the detection process is the most critical factor to support a fast response by the authorities. Thus, this article p...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Other NonPeerReviewed |
| Language: | English |
| Published: |
Fire
2022
|
| Subjects: | |
| Online Access: | https://repository.ugm.ac.id/283587/1/RealTime-Forest-Fire-Detection-Framework-Based-on-Artificial-Intelligence-Using-Color-Probability-Model-and-Motion-Feature-AnalysisFire.pdf https://repository.ugm.ac.id/283587/ https://www.mdpi.com/2571-6255/5/1/23 https://doi.org/10.3390/fire5010023 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Universitas Gadjah Mada |
| Language: | English |