Aldo Camargo

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This paper focuses on a practical technique for mosaicking video frames captured by thermal infrared (IR) cameras flown on a small Unmanned Aerial Vehicle (UAV). A Scale Invariant Feature Transform (SIFT) algorithm is used for detecting the matching feature points. Then, the k-d tree and RANSAC algorithms are used to find the best match as well as to(More)
Unmanned Aircraft Systems (UAS) have been widely applied for reconnaissance and surveillance by exploiting the information collected from the digital imaging payload. However, the data analysis of UAS videos is frequently limited by motion blur; the frame-to-frame movement induced by aircraft roll, wind gusts, and less than ideal atmospheric conditions; and(More)
Unmanned Aircraft Systems (UAS) have been used in many military and civilian applications, particularly surveillance. One of the best ways to use the capacity of a UAS imaging system is by constructing a mosaic of the recorded video. In this paper, we present a novel algorithm to calculate a super-resolution mosaic for UAS, which is both fast and robust. In(More)
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