Applying image processing technology to region area estimation

Yi Nung Chung, Yun Jhong Hu, Xian Zhi Tsai, Chao Hsing Hsu, Chien Wen Lai

研究成果: Conference contribution

1 引文 斯高帕斯(Scopus)


This paper proposes a method to measure a region area of field by using aerial images. An unmanned aerial vehicle (UAV) and image processing technology is used to capture images of the land and measure its area. The main advantage of using UAV to capture images is the higher degree of freedom; it can accord user’s operation to capture from various angles and heights to obtain more diversified information. Even taking pictures of a dangerous area, the user can remote the UAV in a safer place, and get the information of the area or the UAV in real time. In the experiment, an UAV is used to get images of the playground grassland which region area is known, and capture a group of images with same area from 70 to 120 m height every ten meters. In image processing process, edge detection and morphology are used to find the range of the interest region, and then count the number of pixels of it. We can get the relation between the different height and per pixels of the real area. Experimental results show that the average deviations of estimating unknown area are less than 2%.

主出版物標題Genetic and Evolutionary Computing - Proceedings of the 11th International Conference on Genetic and Evolutionary Computing
編輯Shu-Chuan Chu, Jerry Chun-Wei Lin, Chien-Ming Chen, Jeng-Shyang Pan
發行者Springer Verlag
出版狀態Published - 2018
事件11th International Conference on Genetic and Evolutionary Computing, 2017 - Kaohsiung, Taiwan
持續時間: 2017 十一月 62017 十一月 8


名字Advances in Intelligent Systems and Computing


Other11th International Conference on Genetic and Evolutionary Computing, 2017

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science(all)

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