The last decade has witnessed the use of computer vision for wildfire detection and
measurement. The first and most important step for computer vision analysis is the fire pixel …

Data mashup is a Web technology that combines information from multiple sources into a
single Web application. Mashup applications support new services, such as environmental …

In the last decade we have witnessed an increasing interest in using computer vision and
image processing in forest fire research. Image processing techniques have been …

Continuous technological progress has led to great changes in our society. UAVs (Unnamed
Aerial Vehicles), commonly known as drones, are one of the most significant technological …

Wildfires have long been a danger to the atmosphere and ecological environment. With the
advancement of deep learning technology and sensor equipment, wildfire identification …

Abstract Three-dimensional (3D) vision based scanning for metrology and inspection
applications is an area that has attracted increasing interest in the industry. This interest is …

Wildfires are one of the most devastating and harmful natural disasters that occur in Canada
every year. Firefighters require the best tools and equipment to fight these wildfires and limit …

In the context of wildfire research and fight, there is a need of measuring fire geometrical
characteristics to better understand the phenomena occurring during the propagation, to …

This paper proposes a new multimodal stereovision framework for wildland fires detection
and analysis. The proposed system uses near infrared and visible images to robustly …

Wildland fires are considered one of the major natural risks affecting almost every country in
the world. The impacts of these fires are huge in term of environmental, economic, and …