High Performance Multispectral Camera for Aerial Operation

用于空中作业的高性能多光谱相机

• 批准号: 530499-2018
• 负责人: Elliott, Duncan
• 金额: $ 0.91万
• 依托单位: University of Alberta
• 依托单位国家: 加拿大
• 项目类别: Engage Plus Grants Program
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=650093
• 关键词: Performance; Multispectral; Camera; Aerial; Operation

Unmanned Aerial Vehicles (UAVs or drones) are a low-carbon emission alternative for aerial imaging and**mapping. Multispectral and hyperspectral imaging uses narrower band sensing, more bands and typically, both**visible and non-visible wavelengths of light to observe what isn't visible to an RGB camera or the naked eye.**Stream Technologies has selected 10 bands and image post-processing algorithms that provide insight into**plant species, nutritional and disease stress, which are valuable indications for precision agriculture.**Unfortunately, their camera's mass and size of both the optics and electronics make it difficult to mount in most**UAVs. The narrow field of view requires higher altitudes for aerial photography than Transport Canada**normally grants for UAVs.**Our lab has 6+ years experience with building and operating UAVs and producing georectified images,**including building compact optical systems and airborne electronics for capturing and tagging images with the**appropriate metadata. In a previous Engage grant with Stream Technologies, we demonstrated a UAV-borne**multispectral camera and agricultural applications. We have already received Transport Canada approval for**field testing that will take place over agricultural lands.**In this project, the multispectral camera will be expanded to more bands and higher performance, including**higher frame rates and higher resolution than available systems. A new FPGA-based camera backend will be**explored to significantly reduce the mass and cost of the camera.

无人驾驶航空器（UAV或无人机）是航空成像和测绘的低碳排放替代品。多光谱和高光谱成像使用更窄的波段传感，更多的波段，通常，** 可见光和不可见光波长，以观察RGB相机或肉眼看不到的东西。Stream Technologies选择了10个波段和图像后处理算法，这些算法可以深入了解 ** 植物物种、营养和疾病压力，这些都是精准农业的宝贵指标。不幸的是，他们的相机的质量和大小的光学和电子设备，使其难以安装在大多数 ** 无人机。狭窄的视野需要比加拿大交通部 ** 通常赠款无人机的更高的空中摄影高度。我们的实验室在建造和操作无人机以及生成地理校正图像方面拥有6年以上的经验，** 包括建造紧凑型光学系统和机载电子设备，用于使用 ** 适当的元数据捕获和标记图像。在之前与Stream Technologies的Engage赠款中，我们展示了无人机携带的多光谱相机和农业应用。我们已经获得加拿大交通部的批准，可以在农业用地上进行 ** 现场测试。在这个项目中，多光谱相机将扩展到更多的波段和更高的性能，包括比现有系统更高的帧速率和更高的分辨率。一个新的基于FPGA的相机后端将 ** 探索，以显着减少相机的质量和成本。