What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Statistics
- Computer vision
His primary areas of study are Laser scanning, Remote sensing, Point cloud, Lidar and Terrain.
His Laser scanning research includes themes of Segmentation, Computer vision, Artificial intelligence, Data mining and Raised-relief map.
His research in Remote sensing intersects with topics in Radar, Computation and Laser, Optics.
Norbert Pfeifer has included themes like Benchmarking, Correctness, Statistics, Plot and Surface roughness in his Point cloud study.
His study in Lidar is interdisciplinary in nature, drawing from both Plane, Forest inventory, Statistical parameter and k-nearest neighbors algorithm.
His Terrain research is multidisciplinary, incorporating perspectives in Photogrammetry, Digital elevation model and Interpolation.
His most cited work include:
- Determination of terrain models in wooded areas with airborne laser scanner data (965 citations)
- Correction of laser scanning intensity data: Data and model-driven approaches (409 citations)
- A Comparison of Evaluation Techniques for Building Extraction From Airborne Laser Scanning (258 citations)
What are the main themes of his work throughout his whole career to date?
Norbert Pfeifer spends much of his time researching Remote sensing, Laser scanning, Point cloud, Lidar and Artificial intelligence.
His studies deal with areas such as Terrestrial laser scanning, Terrain and Laser as well as Remote sensing.
The Terrain study combines topics in areas such as Digital elevation model and Interpolation.
His Laser scanning study results in a more complete grasp of Optics.
Norbert Pfeifer works mostly in the field of Point cloud, limiting it down to topics relating to Tree and, in certain cases, Forest inventory.
His Artificial intelligence study incorporates themes from Computer vision and Pattern recognition.
He most often published in these fields:
- Remote sensing (53.82%)
- Laser scanning (33.33%)
- Point cloud (28.47%)
What were the highlights of his more recent work (between 2018-2021)?
- Remote sensing (53.82%)
- Point cloud (28.47%)
- Lidar (22.92%)
In recent papers he was focusing on the following fields of study:
Norbert Pfeifer mainly investigates Remote sensing, Point cloud, Lidar, Laser scanning and Artificial intelligence.
His work on Digital elevation model and Photogrammetry as part of his general Remote sensing study is frequently connected to Data acquisition, thereby bridging the divide between different branches of science.
His Point cloud research incorporates elements of Transformation, Algorithm, 3D reconstruction and Image segmentation.
His Lidar research incorporates themes from Ecology, Species richness, Habitat, Soil fertility and Diversity.
Norbert Pfeifer incorporates Laser scanning and Complexity index in his research.
His Artificial intelligence research includes themes of Machine learning and Pattern recognition.
Between 2018 and 2021, his most popular works were:
- Terrestrial structure from motion photogrammetry for deriving forest inventory data (28 citations)
- Classification of ALS Point Clouds Using End-to-End Deep Learning (15 citations)
- Design and evaluation of a full-wave surface and bottom-detection algorithm for LiDAR bathymetry of very shallow waters (14 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Statistics
- Computer vision
Norbert Pfeifer mainly focuses on Remote sensing, Point cloud, Lidar, Laser scanning and Artificial intelligence.
Norbert Pfeifer has researched Remote sensing in several fields, including 3D reconstruction and Radiometric calibration.
His Point cloud research is multidisciplinary, incorporating perspectives in Subdivision, Acer platanoides, Evapotranspiration and Interception.
The study incorporates disciplines such as Image segmentation, Canopy, Cluster analysis, Photogrammetry and Ranging in addition to Lidar.
The various areas that Norbert Pfeifer examines in his Laser scanning study include Image resolution, Maple, Noise, Sunrise and Sunset.
His work in the fields of Artificial intelligence, such as Deep learning, Representation and Artificial neural network, intersects with other areas such as Set.
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