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.