카메라 모듈과 드론을 이용한 면적 자동 측정 프로그램 개발
Development of a Pixel-based Area Measurement Program Using Drone and Camera Module
0
조회
0
다운로드
3
인용
0
참고문헌
키워드
초록
As the drone industry has grown greatly in recent years, drones are being used or developed in many industrial fields such as image shooting, pesticide application, delivery service, food delivery etc. In this paper, therefore, we developed a program that takes a user's desired area at a certain height using a camera-equipped drone and obtains the area of the zone the user wants through image processing. The first user selects an area or a path. Afterwards, the drone flies and takes pictures, and then measures the user's needs. A digital image taken at a constant height and with the same resolution is composed of pixels, the area can be calculated easily if we know the number of pixels in the zone the user wants. Particularly, it is easy to calculate the area of various shaped zones, not terrain shapes such as triangles and squares. In addition, the total area of specific places of the entire zone can be calculated. With the program of this paper, anyone can easily calculate the area of the place the user wants using a drone rather than calculating the area through difficult formulas or specialized equipment.
Abstract
As the drone industry has grown greatly in recent years, drones are being used or developed in many industrial fields such as image shooting, pesticide application, delivery service, food delivery etc. In this paper, therefore, we developed a program that takes a user's desired area at a certain height using a camera-equipped drone and obtains the area of the zone the user wants through image processing. The first user selects an area or a path. Afterwards, the drone flies and takes pictures, and then measures the user's needs. A digital image taken at a constant height and with the same resolution is composed of pixels, the area can be calculated easily if we know the number of pixels in the zone the user wants. Particularly, it is easy to calculate the area of various shaped zones, not terrain shapes such as triangles and squares. In addition, the total area of specific places of the entire zone can be calculated. With the program of this paper, anyone can easily calculate the area of the place the user wants using a drone rather than calculating the area through difficult formulas or specialized equipment.
참고문헌 (9)
- 김정환, "컴퓨터 비전과 GPS를 이용한 드론 자율 비행 알고리즘", 대한임베디드공학회논문지, 11(3), pp.193~200 (2016), 대한임베디드공학회[DOI]
- Republic of Korea Ministry of Land, Transport and Maritime Affairs, "Enforcement Rules of Aviation Act 112 Article", ~ (2017)
- H.M.Easlon, "Easy Leaf Area: Automated Digital Image Analysis for Rapid and Accurate Measurement of Leaf Area", Journal of Applications in Plant Sciences, 2(7) (2014)
- J. Kim, "The Autonomous Flight System Development of Drones for Nectar Source Navigation Based on Real Time Image Processing", Ph.D, pp.2016
- J. J. Lugo, "Framework for Autonomous On-board Navigation with the AR.Drone", Journal of Intelligent and Robotic Systems, 73(1), pp.401~412 (2014)
- 박우민, "입체적 지형을 고려한 무인항공기의실시간 촬영 영역 분석 알고리즘", 한국통신학회논문지C, 38(12), pp.1196~1206 (2013), 한국통신학회
- Piazzo, Lorenzo, "Image Estimation in the Presence of Irregular Sampling, Noise, and Pointing Jitter", Journal of IEEE Transactions on Image Processing, 28(2), pp.713~722 (2019)
- M.J. Grinsven, "Fast Convolutional Neural Network Training Using Selective Data Sampling: Application to Hemorrhage Detection in Color Fundus Images", Journal of IEEE Transactions on Medical Imaging, 35(5), pp.1273~1284 (2016)
- A. Dave, "Solving Inverse Computational Imaging Problems Using Deep Pixel-Level Prior", Journal of IEEE Transactions on Computational Imaging, 5(1), pp.37~51 (2019)