This paper presents a new LiDAR segmentation technique for automatic extraction of building roofs. First, it uses a height threshold, based on the digital elevation model to divide the LiDAR point cloud into ‘ground’ and ‘non-ground’ points. Then starting from the maximum LiDAR height, and decreasing the height at each iteration, it looks for coplanar points to form planar roof segments. At eac...

A new method for extracting the drainage network from a digital elevation model (DEM) is presented. It is based on the well-known D8 approach that simulates the overland flow but uses a more elaborate water transfer model that is inspired by the natural behaviour of water. The proposed solution has several advantages: it works on unprocessed DEMs avoiding the problems caused by pits and flats, ...

Singhbhum Shear Zone (SSZ) is a geologically rich belt with structures like faults and folds being the distinctive features. Due to these characteristics this area has been an important centre of studies since past few decades. With the advent of Remote Sensing and GIS, it has been possible to study and interprete geological setting of any area in the laboratory itself without even visiting the...

With the analysis of the already existed theories of 3D terrain visualization, it is argued that how to use Digital Elevation Model to construct 3D terrain models on Internet, in the light of Level of Detail technology in this paper. Finally an application system is developed to real-time display and operates the terrain on Internet.

Developing fully automatic systems is still an active research topic in 3D building model reconstruction. While a general solution to the building reconstruction problem relies on collecting and grouping the modeling cues (e.g., lines, corners, planes) from Digital Surface Model (DSM) data, failure in finding the cues due to noise in the DSM and the object complexities is a big challenge. In th...

The planar digital terrain model to be used in the analysis of forest measurements made with terrestrial LIDAR scanning is proposed for regions dominated by plains. The structure of the data suggests that the iterated version of the Hough transform is a suitable method. This makes it possible to reduce the time and memory requirements of the method. Randomization with the fraction of data used ...

The research suggests a system that automatically generates Digital Elevation Model (DEM) of a chicken filet. The DEM is generated by close range photogrammetry methods, using stereoscopic images of the chicken filet. A major problem of the photogrammetric process is the uniformity of the chicken filet’s color and texture, which makes it hard to find matching-points in the two stereo images. Th...

We show how a series of satellite images used in conjunction with data derived from a digital terrain model can be used to monitor salinity in farmland. Using these data, a conditional probability network (CPN) is constructed to produce salinity maps. The maps are the result of combining uncertain information in images with uncertain knowledge or rules, where the rules are of a temporal and spa...

It has been suggested that airborne laser scanning (ALS) could be used for operational monitoring of vegetation changes in the alpine tree line caused by climate change. Because the vegetation is low in such tree-less areas close to the alpine zone, the accuracy of the digital terrain model (DTM) becomes crucial for early detection of, e.g., pioneer trees representing an ongoing tree migration ...

This report proposes an approach to automatically detect static vehicles in an outdoor parking space using depth. The relevant 3D information is generated from a Digital Surface Model (DSM), which is a result of a novel and existing technique to solve camera pose estimation and dense reconstruction simultaneously. Validation using local 2D features, based on existing methods, is then done to en...