System for Bursaphelenchus xylophilus Infeccted Pines Identification and Positioning andVideo Meeting based on Remote Sensing

Presentations were made on a system with two modules of Bursaphelencus xylophilus infected pines identification and positioning andvideo meeting based on Java, C++ and HTML programming languages, combined with OpenCV open source library, CloudRoom SDK, GeoToolsand MySql database. Test of the system was carried out in July and September in Nanjing, Jiangsu province. The result demonstrated that the systemhad the minimum value and maximum value of 0.09 m and 1.77 m of horizontal shift of positioning, with the average error of 0.64 m,root-mean-square error of 0.492 8 m. Based on the video codec principle and Cloudroom SDK, a video meeting system was developed to realize thenetwork transmission of real-time video stream of UAV and the function of video meeting.