Point Clouds (1)

The Functionalities of Processing Software
Whether based on Lidar, photogrammetry, radar, sonar or other remote sensors, systems for geodata acquisition create millions or even billions of 3D points. To be useful, the data needs to be organised, combined, georeferenced, measured and analysed, and that in turn requires software. This article first defines what point clouds are and identifies their sources. It then goes on to examine software functionalities such as visualisation and editing. The July 2014 edition of GIM International will be a themed issue covering collection and processing of point clouds and hence will include a selection of the many software packages currently available.... (read more)
2014-06-06 03:29:52

OBIA and Point Clouds

Airborne Lidar and Object-based Image Analysis
Is object-based image analysis (OBIA) suited for the semi-automatic classification of Lidar point clouds? Read more about the promising prospects. Object-based image analysis (OBIA) has been developed to improve the accuracy of conventional, pixel-based classification of multispectral images. Introduced around the year 2000 and implemented in various software packages such as eCognition, OBIA has been successfully applied for mapping land cover, forest and agricultural areas. Today, not only high-resolution multispectral images are available but increasingly also high-density 3D point clouds captured by airborne Lidar. So is OBIA also suited for the semi-automatic classification of Lidar point clouds? An airborne laser... (read more)
2017-11-01 03:10:48

Point Clouds from Smartphones

Cheap and Rapid 3D Modelling
Smartphones are omnipresent, and many people can no longer do without them. Smartphone cameras capture images suited for generating point clouds and 3D models. Apps running on smartphones and software running on a remote server enable easy 3D modelling from multiple images. The challenge is to train and guide laymen through a proper image capture strategy using their smartphones. The authors of this article investigated the potential use of smartphones for cheap and rapid generation of point clouds and 3D models exploiting a collaborative approach. Today’s smartphone images are higher in quality than they were a few years ago. Overlapping... (read more)
2018-03-15 01:52:37

Poles from Point Clouds

Automatic Extraction of Pole-like Objects Using Point Cloud Library
Currently, the extraction of objects from point clouds of urban sites is commonly done manually as automation is impeded by noise, clutter, occlusions and varying point density. The authors have developed a software tool for automatic detection of road signs, lampposts, utility poles, traffic lights and other pole-like objects based on the open-source Point Cloud Library. The results appear to be encouraging. By Federico Tombari, Tommaso Cavallari and Luigi Di Stefano, University of Bologna, Italy 3D information about pole-like structures is used for detecting facility damage, road maintenance and other applications. Occlusion – the blocking of objects by other objects... (read more)
2016-01-05 03:47:32

Semantically Enriching Point Clouds

Exploring Colour and Geometrical Properties
Students in their second - and hence final - year of the Master in Geomatics programme at Delft University of Technology embarked on a ten-week Geomatics Synthesis Project as a group. The objective was to undertake a small but real-world research project where they could gain experience in the entire geoinformation chain (acquisition, processing and application). (By Merwin Rook and Stella Psomadaki) The Master in Geomatics programme at Delft University of Technology focuses on geographical information science. Geomatics at Delft differs from other geomatics programmes in terms of its close connection to the Faculty of Architecture and the Built Environment. For the 2015 Geomatics... (read more)
2016-05-19 05:19:35

Point Clouds (2)

Survey of Processing Software
Collecting and processing point clouds has been trending topic in the geospatial sector over the past few years. This article focuses on point cloud processing software aimed at creating DEMs or DSMs and products derived from these. The first article of this diptych, originally published in the June 2014 issue of GIM International, focused on functionalities. This survey starts with the software of Terrasolid, which is based in Helsinki, Finland. It will then focus on three systems listed on the Geo-matching.com website, subsequently continuing with software which operates independently from the particular sensors, to then arrive at proprietary systems. It... (read more)
2014-07-25 10:02:27

Massive Point Clouds

The progress of computer technology still obeys the half-a-century old Moore’s law. Likewise, the capacity of sensors, the number and size of pixels in cameras and even the number of nozzles on print heads doubles nearly every two years. Yet the amount of data today’s sensors produce is growing faster than the processing and storage capacity of Data Base Management Systems (DBMS). As a result, the full potential of point cloud data such as the x,y-related heights from airborne Lidar or the x,y,z coordinates from terrestrial laser scanners remains unexploited. Lidar Digital Terrain Models (DTM) may be so detailed that... (read more)
2013-04-03 03:59:37

Cloud Opens GIS World

GIS touches everybody. During the 32nd Esri Users conference, held from 23 to 27 July 2012 in San Diego, USA, users were able to experience the full integration of cloud capabilities developed by Esri over the last several years. A wide variety of new technology was highlighted at the conference, and there was a strong sense that fundamental changes are afoot - the future for GIS is looking very exciting. Thanks to the latest developments in cloud computing within Esri software products, GIS is becoming relevant for an ever-wider community within organisations. Maps, area imagery, crowdsourced data, social media and... (read more)
2012-08-07 09:47:46

Automatic Tie-point Extraction

Novel Matching Method for Handling Non-standard Imagery
One of the most complex and time-consuming tasks in the photogrammetric workflow is the extraction of corresponding points in two or more overlapping images. This is the first stage of aerial triangulation and block adjustment aimed at computing the positions of the projection centre and the orientation of each image. Automating the extraction of these so-called ‘tie points’ can be challenging, especially when non-standard approaches such as cameras mounted on UAVs or oblique imagery are used. The authors present a novel matching method able to handle the most challenging imagery. The aim of matching is to identify corresponding points in... (read more)
2012-04-25 04:16:35
2015-06-10 05:24:43
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