A survey on technologies for automatic forest fire monitoring, detection, and fighting using unmanned aerial vehicles and remote sensing techniques
By C. Yuan, Youmin Zhang, Zhixiang Liu. 2015
569 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Global and Planetary Change, Safety, Risk, Reliability and Quality
View Paper: https://www.semanticscholar.org/paper/9ced279cf4b48349b9d960e2f65c2ae0cc0b3eb2
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Aerospace Engineering
In Global and Planetary Change
In Safety, Risk, Reliability and Quality
- Wenjuan Sun
- Paolo Bocchini
- Panagiotis Barmpoutis
- Brian D. Davison
- Kosmas Dimitropoulos
- N. Grammalidis
- Periklis Papaioannou
Citations in the corpus
- Unmanned Aerial Vehicles (UAVs) in environmental biology: a review (2019, unknown): “Yuan et al. (2015) conducted a comprehensive review on using UAV in forest fire monitoring and detection.”
- A Review on Early Forest Fire Detection Systems Using Optical Remote Sensing (2020, background): “environ ents [10], and airborne syste s [11,12], in this paper, e provide a co prehensive study of the ost r pres ntative forest fire d tection syst s, focusing on those that use optical re ot sensing, as el as digital i age processing [13] nd classification t chniques [14].”
- Applications of artificial intelligence for disaster management (2020, methodology): “2016b), fire detection with wavelet analysis and neural networks (Yuan et al. 2015), and estimating three-dimensional structures (Gomez and Purdie 2016).”