A survey on urban vegetation detection using airborne lidar data images

Airborne lidar data is to be used in various applications in urban environments, particularly in mapping and modeling the city landscape in 3D with its artificial land cover types such as buildings, power lines, bridges and also non-elevated objects such as roads. The aim of this paper is to presenting a survey of the literature related to classification techniques, with emphasis on the new sensors called full-waveform airborne lidar data. The Base of airborne lidar systems consist of a laser transmitter and a receiver, a mechanical scanner, a hybrid positioning system, a storage media, and an operating system for signal digitization and on-line data acquisition. This unit monitors and synchronizes measurements, and processes data in real-time to extract georeferenced points. Airborne lidar data is give only a basic geometric representation of a scene. Consequently, many of the authors developed new automatic mapping algorithms for point classification, urban reconstruction and forest assessment. Most of them are only based on the point cloud based analysis and sometimes on the intensity.