The inclusion of spatial information into spectral classifiers for fine-resolution hyperspectral imagery has led to significant improvements in terms classification performance. task spectral-spatial image (HSI) remained challenging because high intraclass spectrum variability and low interclass variability. This fact made the extraction highly active. In this work, a novel HSI framework using ...

Range-Doppler images are widely used to classify different types of Unmanned Air Vehicles (UAVs) because each UAV has a unique range-Doppler signature. However, UAV's signature depends on its movement mechanism. This is why classifier's accuracy would be degraded if the effect mechanical control system UAVs wasn't taken into consideration, which may lead non-unique while in-flight. In this pape...