What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Statistics
- Archaeology
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 most cited work include:
- Correction of laser scanning intensity data: Data and model-driven approaches (409 citations)
- Beyond 3-D: The New Spectrum of Lidar Applications for Earth and Ecological Sciences (142 citations)
- Urban vegetation detection using radiometrically calibrated small-footprint full-waveform airborne LiDAR data (125 citations)
What are the main themes of his work throughout his whole career to date?
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.
He most often published in these fields:
- Remote sensing (58.43%)
- Point cloud (48.19%)
- Lidar (42.17%)
What were the highlights of his more recent work (between 2017-2021)?
- Point cloud (48.19%)
- Remote sensing (58.43%)
- Lidar (42.17%)
In recent papers he was focusing on the following fields of study:
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.
Between 2017 and 2021, his most popular works were:
- Multisource and Multitemporal Data Fusion in Remote Sensing: A Comprehensive Review of the State of the Art (77 citations)
- Validation of fracture data recognition in rock masses by automated plane detection in 3D point clouds (11 citations)
- METHODS FROM INFORMATION EXTRACTION FROM LIDAR INTENSITY DATA AND MULTISPECTRAL LIDAR TECHNOLOGY (11 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Statistics
- Archaeology
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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