Abstract: Systems and methods are provided for extracting features of a building from data having spatial coordinates. The method includes extracting one or more walls and roofs from the data; constructing a building model from the walls and roofs; extracting color data associated with the data and projecting the color data onto the building model; superimposing one or more images onto the building model; applying pattern recognition to extract one or more three-dimensional structural components of the building model; replacing identified three-dimensional structural components with the standard structural elements; comparing subsequent data sets to identify a changed object; and, extracting one or more poles in the building model's vicinity or along the edges of roads.

Abstract: Systems and methods are provided for extracting various features from data having spatial coordinates. The systems and methods may identify and extract data points from a point cloud, where the data points are considered to be part of the ground surface, a building, or a wire (e.g. power lines). Systems and methods are also provided for enhancing a point cloud using external data (e.g. images and other point clouds), and for tracking a moving object by comparing images with a point cloud. An objects database is also provided which can be used to scale point clouds to be of similar size. The objects database can also be used to search for certain objects in a point cloud, as well as recognize unidentified objects in a point cloud.

Abstract: Systems and methods are provided for extracting various features from data having spatial coordinates. The systems and methods may identify and extract data points from a point cloud, where the data points are considered to be part of the ground surface, a building, or a wire (e.g. power lines). Systems and methods are also provided for extracting wires from a noisy environment, for separating buildings from attached vegetation, for reconstructing a building, and for classifying data points according to their relief and terrain characteristics. The extraction of the features may be carried out automatically by a computing device.

Abstract: Systems and methods are provided for extracting various features from data having spatial coordinates. Based on a few known data points in a point cloud, other data points can be interpolated for a given parameter using probabilistic methods, thereby generating a greater number of data points. Using the greater number of data points, a Boolean function, related in part to the given parameter, can be used to extract more detailed features. Based on the Boolean values, a shape of a body having the characteristic(s) defined by the Boolean function can be constructed in a layered manner. The extraction of the features may be carried out automatically by a computing device.