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Recently, the development of autonomous cars is accelerating on the integration of highly advanced artificial intelligence, which increases demand for a digital map with high accuracy. In particular, ...
We propose an image labeling method for LIDAR intensity image obtained by Mobile Mapping System (MMS) using K-Nearest Neighbor (KNN) of feature obtained by Convolutional Neural Network (CNN). Image la...
To serve seamless mapping, airborne LiDAR data are usually collected with multiple parallel strips with one or two cross strip(s). Nevertheless, the overlapping regions of LiDAR data strips are usuall...
Various methods exist for automatic registration of different kinds of image datasets. The datasets could be aerial or satellite images, maps, LiDAR data, etc. In this paper we propose a method for th...
We reconstruct the vertical pulse power distribution returned from a commercial small footprint discrete pulse airborne laser terrain mapper within a mixed forest landscape. By modifying a Beer-Lamber...
There is a growing body of literature that points to the value of using the intensity measures of the backscattered laser light in addition to the pulse range measurements for studying a range of envi...
LiDAR technology provides two different kinds of data: elevation, obtained by differences in time of the emitted and received laser signal; and intensity, obtained by differences of reflected laser be...
To improve the effect of Lidar data, and utilize the intensity information of Lidar data, according to the character of Lidar data, a new fusion mean filtering algorithm based on the flatness degree o...

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