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Forest Fire Detection and Localization Using Thermal and Visual Cameras

机译:使用热敏和视觉相机的森林火灾探测和本地化

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In this paper, a system targeting for using unmanned aerial vehicle (UAV) to application of detecting and locating forest fires is developed. It utilizes the information of two cameras: one charged coupled device (CCD) camera and one thermal camera. The information of both cameras are aligned and then fused to verify if a fire has occurred. In the alignment process, a homography matrix is calculated to assure that the corresponding pixels in both images point to the same area. An image-based thermo-visual servoing (IBTVS) system is implemented for the fire tracking process. A two-degree-of-freedom (2DOF) frame is fabricated based on IBTVS to test the tracking and locating capabilities of the system. Experimental tests show that the designed system can extract fire features from thermal and visual cameras, calculate the position of fire, and command the frame for pointing to the fire.
机译:在本文中,开发了一种利用无人驾驶飞行器(UAV)来应用检测和定位森林火灾的系统。 它利用两个相机的信息:一个带电耦合器件(CCD)相机和一个热相机。 两个相机的信息都对齐,然后融合以验证是否发生了火灾。 在对准过程中,计算定职矩阵以确保两个图像中的相应像素点到同一区域。 基于图像的热视觉伺服(IBTVS)系统用于火灾跟踪过程。 基于IBTV来制造双自由度(2DOF)框架,以测试系统的跟踪和定位能力。 实验测试表明,设计的系统可以从热和视觉相机中提取火灾特征,计算火的位置,并命令框架指向火灾。

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