# Forest fire image recognition based on convolutional neural network

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/forest-fire-image-recognition-based-on-convolutional-neural-network/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Yuanbin Wang,L. Minh Dang,Jieying Ren |
| Citations | 87 |
| DOI | 10.1177/1748302619887689 |
| Fields | Computer Science,Engineering,Environmental Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://journals.sagepub.com/doi/pdf/10.1177/1748302619887689 |
| OpenAlex ID | https://openalex.org/W2990972941 |
| Type | article |
| Year | 2019 |

## Paper authors

- [L. Minh Dang](https://scholariq.org/researchers/l-minh-dang/)

## Paper journal

- [Journal of Algorithms & Computational Technology](https://scholariq.org/journals/journal-of-algorithms-and-computational-technology/)

## Paper primary topic

- [Fire Detection and Safety Systems](https://scholariq.org/topics/fire-detection-and-safety-systems/)

## Paper topics

- [Fire Detection and Safety Systems](https://scholariq.org/topics/fire-detection-and-safety-systems/)
- [Video Surveillance and Tracking Methods](https://scholariq.org/topics/video-surveillance-and-tracking-methods/)
- [Fire effects on ecosystems](https://scholariq.org/topics/fire-effects-on-ecosystems/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.