Multi-rotor Unmanned Aerial Vehicles Based Designof Real-time Infrared Image Acquisition System

China is a big country with abundant forest resources. Forestry plays a vital role in the national product and life. Developing forestry can not only provide a large number of the national economy required products, but also can play a major role in water and soil conservation, wind prevention and sand fixation, climate regulation, environment protection, etc. It can observably improve the quality of human life and promote the sustainable development of the society and the economy. In the process of forestry development, the system which combines the 3S technology, wireless transmission technology, UAV technology and infrared technology can investigate and analyze the forest resources scientifically and make the management of forest resources more accurate and efficient.In this paper, firstly starting from the selection of embedded platforms and initialization. After building the hardware platform, using Mjpg-Streamer and Lighttpd to achieve the real-time wireless transmission of acquired video from the server to the browser. Then using the Python language and gpsd to achieve the debugging and the using of GPS and electronic compass and establishing the wireless access point. Then realizing the capture and storage of the images and the writting of the EXIF information, which also contains the format conversion of GPS data and the calculation of the electronic compass data. Then using the HTML5 Websocket technology and Tornado to achieve a real-time wireless intercommunication between the server and the browser and build the Web page on the broswer. Then introducing the realization of the image processing and the GPIO functions. Finally, doing the statistics and analysis by calculating the NDVI value of the experiment acquired and Matlab processed images, then making the comparison of different methods processed NDVI images.This system is coeded by Python, Shell, HTML and JavaScript and it has the feature of the open source, high performance, low power consumption, low cost, small volume and low weight. The ground receiving and controlling equipment only need to be the smart devices which have a wireless network card and the browser, such as laptops, tablets, cellphones or PDAs, etc. In the condition of no public wireless network signal, the ground receiving and controlling equipment can receive the real-time video, GPS coordinates and digital compass information remotely and wirelessly, controlling the system to capture and store the infrared images which include the longitude, latitude, altitude and direction EXIF information.After the test, the result shows that the system works well and achieves the set goals. At the same time, the system can provide the basis for the project of the image stitching, image analysis algorithm and other topics.