Andrea Nascetti
Scholar

Andrea Nascetti

Google Scholar ID: Mdq6_jQAAAAJ
Associate Professor at KTH Royal Institute of Technology
PhotogrammetryRemote SensingSARImage Processing3D modelling
Citations & Impact
All-time
Citations
2,001
 
H-index
23
 
i10-index
48
 
Publications
20
 
Co-authors
10
list available
Resume (English only)
Academic Achievements
  • Specific academic achievements like publications, awards, patents, or projects are not provided.
Research Experience
  • Earth Observation & Remote Sensing: Development of models and algorithms for processing optical and radar high-resolution satellite imagery; feature extraction, off-set tracking, and matching algorithm development; stereoscopic digital surface model generation; co-registration of optical and SAR satellite imagery using a SIFT-based approach; time series analysis and big data cube exploitation using cloud-based technology.
  • Computer Vision & Machine Learning: Close-range 3D modeling using various sensors and techniques; validation and calibration analysis of low-cost range cameras; multi-view photogrammetry based on Structure from Motion (SfM) algorithms; development of segmentation techniques for point cloud analysis; image classification using both supervised and unsupervised machine learning methods.
  • GIS & Geospatial Data: Comparison, cross-validation, and quality assessment of Digital Surface Models (DSMs) and orthoimages; statistical analysis; land use and land cover mapping and statistical analysis; geo big data analysis, management, and development.
Education
  • Specific educational background details such as degrees, schools, advisors, etc., are not provided.
Background
  • Dr. Andrea Nascetti is an associate professor at the Department of Urban Planning and Environment at KTH Royal Institute of Technology in Stockholm, Sweden. Before joining KTH, from 2013 he was a postdoc researcher at the University of Rome “La Sapienza” and during his studies he acquired a significant background in Geomatics, Remote Sensing (Photogrammetry, SAR, Radargrammetry) and in Computer Vision.
Miscellany
  • No information about personal interests, hobbies, or other related details is provided.