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Geographic Information Systems in Geospatial Intelligence [Working Title]
The automated detection of pavement distress from remote sensing imagery is a promising but challenging task due to the complex structure of pavement surfaces, in addition to the intensity of non-uniformity, and the presence of artifacts and noise. Even though imaging and sensing systems such as high-resolution RGB cameras, stereovision imaging, LiDAR and terrestrial laser scanning can now be combined to collect pavement condition data, the data obtained by these sensors are expensive anddoi:10.5772/intechopen.88877 fatcat:flkfz2nm6rcpla6spomkfu2p6y