His primary areas of study are Remote sensing, Lidar, Point cloud, Laser scanning and Standard deviation. His work in the fields of Remote sensing, such as Ancillary data, intersects with other areas such as Radar. His Lidar research incorporates elements of Curse of dimensionality, Brightness, Perspective, Geomorphology and Feature extraction.
His work in Point cloud covers topics such as Segmentation which are related to areas like Precision agriculture and Radiometry. His Laser scanning research incorporates themes from Ontology, Intensity, Data mining and Backscatter. His Standard deviation research integrates issues from Deep learning, Artificial intelligence and Minimum bounding box.
His main research concerns Remote sensing, Point cloud, Lidar, Laser scanning and Vegetation. His Remote sensing study incorporates themes from Elevation and Standard deviation. His Point cloud research includes themes of Change detection, Segmentation, Raster graphics and Normal.
He works mostly in the field of Lidar, limiting it down to topics relating to Geomorphology and, in certain cases, Karst, as a part of the same area of interest. His research in Laser scanning intersects with topics in Cartography, Object and Photogrammetry. His research integrates issues of Random forest, Subsidence and Arctic in his study of Vegetation.
His primary areas of study are Point cloud, Remote sensing, Lidar, Laser scanning and Change detection. His work carried out in the field of Point cloud brings together such families of science as Crowdsourcing, Segmentation, Normal and Geodesy. His Segmentation study combines topics in areas such as Divergence and Fracture.
The Remote sensing study combines topics in areas such as Random forest, Vertical displacement and Vegetation. The concepts of his Lidar study are interwoven with issues in Elevation, Rock glacier and Arctic. His Laser scanning research includes elements of Cultural heritage, Geoarchaeology, Propagation of uncertainty and Radiometry.
His main research concerns Lidar, Point cloud, Remote sensing, Information extraction and Segmentation. His Lidar research is multidisciplinary, incorporating elements of Measurement uncertainty, Rock glacier, Erosion and Shoal. His study in Point cloud is interdisciplinary in nature, drawing from both Landslide, Glacier, Geomorphology and Permafrost.
His work on Remote sensing as part of general Remote sensing research is often related to Field, thus linking different fields of science. His work deals with themes such as Binary classification, Crowdsourcing and Class, which intersect with Information extraction. His Segmentation research is multidisciplinary, incorporating perspectives in Change detection, Pairwise comparison and Temporal scales.
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Correction of laser scanning intensity data: Data and model-driven approaches
Bernhard Höfle;Norbert Pfeifer.
Isprs Journal of Photogrammetry and Remote Sensing (2007)
Beyond 3-D: The New Spectrum of Lidar Applications for Earth and Ecological Sciences
Jan U.H. Eitel;Bernhard Höfle;Lee A. Vierling;Antonio Abellán.
Remote Sensing of Environment (2016)
Multisource and Multitemporal Data Fusion in Remote Sensing: A Comprehensive Review of the State of the Art
Pedram Ghamisi;Behnood Rasti;Naoto Yokoya;Qunming Wang.
IEEE Geoscience and Remote Sensing Magazine (2019)
Urban vegetation detection using radiometrically calibrated small-footprint full-waveform airborne LiDAR data
Bernhard Höfle;Markus Hollaus;Julian Hagenauer.
Isprs Journal of Photogrammetry and Remote Sensing (2012)
Water surface mapping from airborne laser scanning using signal intensity and elevation data
Bernhard Höfle;Michael Vetter;Norbert Pfeifer;Gottfried Mandlburger.
Earth Surface Processes and Landforms (2009)
Automatic roof plane detection and analysis in airborne lidar point clouds for solar potential assessment.
Andreas Jochem;Bernhard Höfle;Martin Rutzinger;Norbert Pfeifer.
Object-Based Point Cloud Analysis of Full-Waveform Airborne Laser Scanning Data for Urban Vegetation Classification
Martin Rutzinger;Bernhard Höfle;Markus Hollaus;Norbert Pfeifer.
Topographic airborne LiDAR in geomorphology: A technological perspective
Bernhard Höfle;Martin Rutzinger.
Zeitschrift für Geomorphologie, Supplementary Issues (2011)
Hyperspectral and LiDAR Data Fusion Using Extinction Profiles and Deep Convolutional Neural Network
Pedram Ghamisi;Bernhard Hofle;Xiao Xiang Zhu.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2017)
Ontology-Based Classification of Building Types Detected from Airborne Laser Scanning Data
Mariana Belgiu;Ivan Tomljenovic;Thomas J. Lampoltshammer;Thomas Blaschke.
Remote Sensing (2014)
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