Dr. Andrea Nascetti is a research scientist 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. Main research activities:
Earth Observation & Remote Sensing
Models and algorithms for processing optical and radar high resolution satellite im- agery using different techniques (i.e Photogrammetry, Radargrammetry and Interferometry). Development and implementation of feature extraction, off-set tracking and matching algorithms; stereoscopic digital surface models generation. Co-registration of optical and SAR satellite imagery using SIFT based approach. Time series analysis and big data cubes exploitation using cloud based technology (i.e Google Earth Engine, Google Cloud Platform)
Computer Vision & Machine Learning
Close range 3D modelling using several sensors and techniques. Validation and cali- bration analysis of low cost range camera (e.g. Microsoft Kinect v1 and v2, Occipital Structure Sensor). Multi-view photogrammetry based on Structure from Motion (SfM) algorithms. Development of segmentation techniques for point clouds analysis. Image classification using both supervised and unsupervised machine learning methods (i.e. Random Forest, SVM, K-Means, Neural networks, Bayesian approaches).
GIS & Geospatial data
Digital Surface Models (DSMs) and Orthoimages comparison, cross-validation and quality assessment. Statistical analysis. Land use and Land Cover mapping and statistical analysis. Geo Big Data analysis, management and development