Earth image classification design using unmanned Aerial vehicle

作     者：Prasetio, Barlian Henryranu Supianto, Ahmad Afif Setiawan, Gembong Edhi Setiawan, Budi Darma Cholissodin, Imam Akbar, Sabriansyah R. 

作者机构：Computer System and Robotics Lab Program of Information Technology and Computer Science University of Brawijaya Malang65145 Indonesia Intelligent Computing and Multimedia Lab Program of Information Technology and Computer Science University of Brawijaya Malang65145 Indonesia Computer Networking Lab Program of Information Technology and Computer Science University of Brawijaya Malang65145 Indonesia 

出 版 物：《Telkomnika (Telecommunication Computing Electronics and Control)》 (Telkomnika Telecomun. Compt. Electr. Control)

年 卷 期：2015年第13卷第3期

页      面：1021-1028页

核心收录：

学科分类：0808[工学-电气工程] 08[工学] 0835[工学-软件工程] 0825[工学-航空宇航科学与技术] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Image classification 

摘      要：The research aims to build software that can perform the classification of earth image from UAV (Unmanned Aerial Vehicle) monitoring. The Image converted into YUV format then classified using Fuzzy Support Vector Machine (FSVM). UAVs will be used for monitoring as follows: (1) the control station, which used to send or receive data, and display the data in graphical form, (2) payload, camera captured images and send to the control station, (3) communication system using TCP/IP protocol, and (4) UAV, using X650 quad copter products. The image of the monitoring carried out on the UAV sized 256 x 256 pixels with 450 training data. It is 16x16 pixel image data. Tests performed to classify the image into 3 classes, namely agricultural area, residential area, and water area. The highest accuracy value of 77.69% obtained by the number of training data as much as 375. © 2015 Universitas Ahmad Dahlan.