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isprs archives XLI B3 283 2016

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Figure 1. Feature Tensor generation
Figure 3. Point cloud displayed by 5 principal features

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We extract the feature by the Caffenet from semantic regions cropped from LIDAR intensity images, and we select top K similar regions cropped from training

The paper presents an approach to use object based image analysis (OBIA) combing high spatial resolution imagery and Lidar cloud points in order to refine objects

1) The initial building contours are extracted from the classification results of LiDAR point cloud. 2) The internal energy and area energy of the initial contour are

In this research paper the creation of 3D city model was carried out using aerial photos, oblique imagery with different GSD, in order to check the

In this study, approaches (Approach 1 and Approach 2) have been proposed for the automatic point based classification of raw LiDAR point cloud with the combine

In this study, a new method is presented to extract individual tree segments using LiDAR points with 10cm point density.. In this method, a two-step strategy is performed

We propose an efficient method for change detection in mobile LiDAR data by means of voxel grid.. The method is implemented based on Apache Spark which enables distributed parallel

Morphotectonic analysis of the long-term surface expression of the 2009 l’aquila earthquake fault (central italy) using airborne lidar data. Object-oriented identification of