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Rapid advances in remote sensing sensor technology have made it recently possible to collect new dense 3D data like Light Detection And Ranging (LIDAR). One of the challenging issues about LIDAR data is classification of these data for identification of different objects in urban area like building, road, and tree. Regarding to complexities of objects in urban area and disability of LIDAR data to...
Urban multi-criteria optimized route guidance by considering unspecified site satisfaction, an extended type of urban multi-objective optimized route selection, called as both NP-Hard problems and one of the branches of multi-criteria shortest path problems (MSPP). It is not only suggests a route based on route guidance principles and optimized due to routing criteria but also passes through all unspecified...
Nowadays, with rapid development in sensor technologies, better spectral and spatial resolutions are available by the high resolution satellite imageries. These new capabilities motivate the idea to explore existing pan-sharpening techniques to find the best and also to modify them somehow to profit from the new capabilities. Over the last two decades, a wide range of pan-sharpening methods have been...
During the development of Unmanned Aerial Vehicles (UAVs), one of the major concerns has been the issue of improving the accuracy, coverage, and reliability of automatic navigation system within the imposed weight and cost limitations. Standard aerial navigation systems often rely on Global Positioning System (GPS) and Inertial Measurement Unit (IMU), alone or in a combination. In aerial vehicles...
The unique capabilities of hyperspectral images in expressing the properties of phenomena of earth surface, guides the researches of this branch toward developing methods that so soon as possible decreases the need of interference human factor in processing data. However clustering is one of the most applicable methods in many of propounded processing in hyperspectral data. Nevertheless, paying attention...
Nowadays, hyper-spectral remote sensing imaging systems are able to acquire several hundreds of spectral bands. Increasing spectral bands provide the more information for land cover and separate similarity classes and classification accuracy potentially could increase. Nevertheless classification of hyper-spectral imagery by conventional classifiers suffers from Hughes phenomenon. Namely, by increasing...
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