Design of Practical Photogrammetry Technique for Unmanned Aerial Vehicle Application

Photogrammetry is the field that combines the application of UAVs with image processing. UAVs have been applied in various fields of image processing to extract the desired information. UAV architecture, their methodology, the prospects and limitations of its battery, efficiency of the task curated. There are various applications of UAVs and their use in image processing based on photogrammetry. The paper discusses the concept of contour detection, with an emphasis on knowledge about image and image processing techniques for contour detection. The contour detection method is achieved by using OpenCV, then coded with Python to find the area of the largest contour detected. The parameter of the OpenCV function is varied and the changes are observed. The results of different stock images were observed by varying different parameters of the Python function for contour detection and area calculation in terms of the execution time and the area calculated in terms of pixels and then converted into cm2. The derivative approach of the simple algorithm using CHAIN_APPROX_NONE. in terms of contour detection was shown to have better results than the other two algorithms used for detecting the number of contours and drawing it. Still, the contour drawn was not that visible while that of Finding contour using Gaussian blur and binary thresholding was not able to detect every contour of the object in the image but was able to draw it precisely. Hence incorporating this method in photogrammetry has its cause and effects on its battery life and efficiency.