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This paper proposes an image matching system using aerial images, captured in flight time, and aerial geo-referenced images to estimate the Unmanned Aerial Vehicle (UAV) position in a situation of Global Navigation Satellite System (GNSS) failure. The image matching system is based on edge detection in the aerial and geo-referenced image and posterior automatic image registration of these edge-images...
The use of autonomous navigation in Unmanned Aerial Vehicles is growing every day, in many areas, due to the low cost of its deployment and also does not require a pilot in a ground station. The most applied technique for autonomous navigation of Unmanned Aerial Vehicles is the joint use of Global Navigation Satellite System with Inertial Navigation System, an alternative for this technique is the...
In several applications it is necessary to detect changes from aerial images analysis. The goal, which has been addressed in several studies, is to develop an automatic method with low computational cost. However, it is a difficult task and isolated contributions have been presented. The main purpose of this paper is present a proposal to detecting change using aerial images obtained by satellite...
Autonomous Unmanned Aerial Vehicles (UAVs) provide an effective alternative for surveillance in urban areas due to their cost and safety when compared to other traditional methods. The objective of this study is to report the development of a system capable of analyzing digital images of the terrain and identifying potential invasion, unauthorized changes in land and deforestation in some special...
Autonomous Unmanned Aerial Vehicles (UAVs) are available alternatives for urban areas inspections due to its cost and safety when compared to other traditional methods. The purpose of this paper is to report the development of a system capable of analyzing digital images of the terrain and identifies potential invasion, unauthorized alterations on the ground and deforestation in some areas of special...
Automatic object recognition in digital satellite images is not a simple task due to several variations present in the capture process and object appearance and pose, consequently, different general purpose techniques have been proposed. In this paper, an approach with LBP boosted cascade classifier for automatic runway detection in high resolution satellite imagery is analyzed. Promising results...
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