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...16], and practicessalso suggest that the processing of ALS data can be strengthened by OBPCA in which the point cloudssare first segmented and then segments rather than individual points are analyzed =-=[21]-=-.sIn this article, an OBPCA method is proposed to extract vehicles from an ALS point cloud.sParticularly, a segmentation-based filter is employed to separate the ground points from thesobject/non-grou...

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...ion of the optimal kernel and associated parameters can be difficult, though Gaussian radialsbasis function (RBF) has been proved effective in many classification problems for most land coversclasses =-=[44,61,62]-=-. In the case of RBF, the γ parameter controlling the width of the Gaussian kernel issimportant since choosing a small value for the kernel width parameter may lead to over fitting, whileslarge kernel...

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...one is generally not reliable enough for practical implementation [4]. The second category of methods employs LIDAR data and offers an improved level of automation when compared to image-only methods =-=[5,6]-=-. Methods in the third category integrate aerial imagery and LIDAR data to exploit the complementary information from both data sources [7]. Methods integrating LIDAR data and imagery can face one or ...

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...ing), also termed Airborne Laser Scanning (ALS),sis now a widely employed technology to capture the 3D geometry of the Earth ground surface and thesOPEN ACCESSsRemote Sens. 2014, 6 1295sobjects on it =-=[1]-=-. Currently, ALS has various types of applications, ranging from the reconstruction ofsdigital terrain models (DTM; [2,3]), 3D building models [4–7] and 3D road models [8] to the detectionsof individu...