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Tag Archive 'classification'

A recently published paper presents an approach for classifying urban blocks according to their built-up structure based on high-resolution spaceborne InSAR images. Most attributes considered in the classification describe the geometric structure and spatial disposition of the polygon and line features extracted from each block. The feature extraction is carried out on two intensity images [...]

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In a recently published study (1), we produced a web based land use land cover (LULC) product based on OSM tags which are constantly updated by contributors/volunteers, and present a Remote Sensing based solution when tags were absent for a test site. We harness the combined benefit of an open source and ever-growing machine generated [...]

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In recent years, small-footprint full-waveform airborne laser scanning has become readily available and established for vegetation studies in the fields of forestry, agriculture and urban studies. Independent of the field of application and the derived final product, each study uses features to classify a target object and to assess its characteristics (e.g., tree species). These [...]

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The LiDAR Research Group (LRG) of GIScience Heidelberg is contributing novel approaches for geological outcrop characterization, LiDAR simulation, tree classification as well as education in close-range sensing. You are kindly invited to visit our presentations at the ISPRS Congress 2016 in Prague. Furthermore our new HELIOS LiDAR Simulator will participate in the [...]

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The new paper “Comparative classification analysis of post-harvest growth detection from terrestrial LiDAR point clouds in precision agriculture” has just been finally released in the ISPRS Journal of Photogrammetry and Remote Sensing.
http://dx.doi.org/10.1016/j.isprsjprs.2015.03.003
Citation
Koenig, K., Höfle, B., Hämmerle, M., Jarmer, T., Siegmann, B. & Lilienthal, H. (2015): Comparative classification analysis of post-harvest growth detection from terrestrial [...]

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The LiDAR Research Group participates the Laser Scanning 2013 Workshop on Nov, 11-14th in Antalya, Turkey. The workshop brought together experts from different disciplines which are focused on the modeling and application of point cloud data acquired from laser scanners and other active imaging systems, such as range cameras and gaming sensors. [...]

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Researchers of the GIScience group of the Institute of Geography of the University of Heidelberg, the Institute for Geoinformatics and Remote Sensing of the University of Osnabrueck and the Federal Research Centre for Cultivated Plants of the Julius-Kühn-Institut acquired a highly accurate 3D point cloud of harvest residues of winter barley in Brunswick, Germany.

In [...]

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