Automatic Image Stitching of Agriculture Areas based on Unmanned Aerial Vehicle using SURF
Abstract
Identification of agricultural areas in remote sensing technology is needed for the development of agricultural areas. The image of the agricultural area in this study uses an Unmanned Air Vehicle (UAV). The results of images taken from a height of 100 meters on the ground will be stored and processed into one image. UAV technology that supports this research is expected to help remote sensing in real time. For the current study, measurements in agricultural areas are related to some fragmented images. This article creates a beautiful view of the agricultural region. The author focuses on automatic image milling methods with detection- based image matching and description of patented local features from the dataset. The features method applied is based on speeded up robust features (SURF). The method of matching images and verification results is carried out. The result will create a 2-D spatial reference that starts the panorama size. This paper shows the results of image stitching in the agriculture area.References
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