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Compression of remote-sensing images can be necessary in various stages of the image life, and especially on-board a satellite before transmission to the ground station. Although on-board CPU power is quite limited, it is now possible to implement sophisticated real-time compression techniques, provided that complexity constraints are taken into account at(More)
This paper presents a new low-complexity H.264 encoder for Unmanned Aerial Vehicles (UAV) applications. Standard video coding systems currently employed in UAV applications do not rely on some peculiarities in terms of scene 3D model and correlation among successive frames. In particular, the observed scene is static, i.e. the camera movement is dominant,(More)
Standard video coding systems currently employed in UAV (Unmanned Aerial Vehicle) and aerial drone applications do not rely on some peculiarities in terms of scene 3D model and correlation among successive frames. In particular, the observed scene is static, i.e. the camera movement is dominant, and it can often be well approximated with a plane. Moreover,(More)
The aim of this paper is to present a method for integration of measurements provided by inertial sensors (gyroscopes and accelerometers), GPS and a video system in order to estimate position and attitude of an UAV (Unmanned Aerial Vehicle). Inertial sensors are widely used for aircraft navigation because they represent a low cost and compact solution, but(More)
This paper deals with the integration of measurements provided by inertial sensors (gyroscopes and accelerometers), GPS (Global Positioning System) and a video system in order to estimate position and attitude of an high altitude UAV (Unmanned Aerial Vehicle). In such a case, the vision algorithms present ambiguities due to the plane degeneracy. This(More)
We deal with the supervised segmentation of multitemporal remote-sensing images following a statistical Bayesian approach. To take into account prior information on the class of images, like the correlation between neighboring pixels, as well as the available knowledge about the structure of the current image, we model the image as a tree-structured Markov(More)
This paper focuses on the application of a vision based system coupled with an Inertial Measurement Unit (IMU) and several accelerometers, distributed along the aircraft structure, to estimate the structural displacements showed by flexible aircrafts. This sensor suite, associated with the proposed data fusion algorithm, represents an innovative approach to(More)