Mathematical Programming: Series A and B
Feature-Level and Decision-Level Fusion of Noncoincidently Sampled Sensors for Land Mine Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Geometry of Multiple Images: The Laws That Govern The Formation of Images of A Scene and Some of Their Applications
An Intelligent System for False Alarm Reduction in Infrared Forest-Fire Detection
IEEE Intelligent Systems
Pattern Recognition Letters
(OBIFS) isotropic image analysis for improving a predicting agent based systems
Expert Systems with Applications: An International Journal
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This paper presents computer vision techniques for forest fire perception involving measurement of forest fire properties (fire front, flame height, flame inclination angle, fire base width) required for the implementation of advanced forest fire-fighting strategies. The system computes a 3D perception model of the fire and could also be used for visualizing the fire evolution in remote computer systems. The presented system integrates the processing of images from visual and infrared cameras. It applies sensor fusion techniques involving also telemetry sensors, and GPS. The paper also includes some results of forest fire experiments.