What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer vision
- Statistics
Bisheng Yang spends much of his time researching Point cloud, Computer vision, Artificial intelligence, Lidar and Correctness.
Bisheng Yang has researched Point cloud in several fields, including Spatial analysis, Remote sensing, Simulation, Mobile laser scanning and Flexibility.
The various areas that Bisheng Yang examines in his Computer vision study include Point and Laser.
His work on Feature extraction, Robustness and Orientation as part of general Artificial intelligence study is frequently linked to Transformation matrix, therefore connecting diverse disciplines of science.
His Lidar research includes elements of Feature, Sequent and Interpolation.
His Correctness research is multidisciplinary, incorporating perspectives in Tree, Statistics, Plot and Benchmark.
His most cited work include:
- Using mobile laser scanning data for automated extraction of road markings (159 citations)
- Semi-automated extraction and delineation of 3D roads of street scene from mobile laser scanning point clouds (155 citations)
- Hierarchical extraction of urban objects from mobile laser scanning data (134 citations)
What are the main themes of his work throughout his whole career to date?
Bisheng Yang mostly deals with Point cloud, Artificial intelligence, Computer vision, Remote sensing and Laser scanning.
His work carried out in the field of Point cloud brings together such families of science as Feature extraction, Tree, Algorithm, Lidar and Point.
The study incorporates disciplines such as Data mining and Pattern recognition in addition to Artificial intelligence.
His Computer vision study combines topics from a wide range of disciplines, such as Terrain and Laser.
His study looks at the relationship between Remote sensing and fields such as Extraction, as well as how they intersect with chemical problems.
His Laser scanning research is multidisciplinary, relying on both Photogrammetry, Ground truth and Mobile mapping.
He most often published in these fields:
- Point cloud (52.00%)
- Artificial intelligence (44.00%)
- Computer vision (32.80%)
What were the highlights of his more recent work (between 2018-2021)?
- Point cloud (52.00%)
- Remote sensing (20.00%)
- Artificial intelligence (44.00%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Point cloud, Remote sensing, Artificial intelligence, Lidar and Computer vision.
His Point cloud study incorporates themes from Tree, Point, GNSS applications and Laser scanning.
In the subject of general Remote sensing, his work in Multispectral image is often linked to Forest inventory, thereby combining diverse domains of study.
His Artificial intelligence research is multidisciplinary, incorporating elements of Data mining and Pattern recognition.
His research integrates issues of Orientation, Elevation, Ranging and Pose in his study of Lidar.
When carried out as part of a general Computer vision research project, his work on Inertial measurement unit is frequently linked to work in Photogram, Multiple aggregation and Automation, therefore connecting diverse disciplines of study.
Between 2018 and 2021, his most popular works were:
- Registration of large-scale terrestrial laser scanner point clouds: A review and benchmark (33 citations)
- 3D Forest Mapping Using A Low-Cost UAV Laser Scanning System: Investigation and Comparison (21 citations)
- Estimation of Forest Structural Attributes Using Spectral Indices and Point Clouds from UAS-Based Multispectral and RGB Imageries (16 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Computer vision
- Algorithm
The scientist’s investigation covers issues in Point cloud, Remote sensing, Lidar, Artificial intelligence and Laser scanning.
His research in Point cloud intersects with topics in Algorithm, Point and Mean-shift.
His research in the fields of Multispectral image overlaps with other disciplines such as Power transmission and High voltage.
Many of his studies involve connections with topics such as Computer vision and Artificial intelligence.
The Orientation, Pixel and Rigid transformation research he does as part of his general Computer vision study is frequently linked to other disciplines of science, such as Structure from motion, therefore creating a link between diverse domains of science.
His Laser scanning research includes themes of Precision and recall, Visibility, Cut, Pairwise comparison and Iterative reconstruction.
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