Project Details
Projekt
Learning and Recovery Algorithms for Multi-Sensor Data Fusion and Spectral Unmixing in Earth Observation
Applicants
Professor Dr. Massimo Fornasier; Professor Dr. Gerhard Kramer; Professorin Dr.-Ing. Xiaoxiang Zhu
Subject Area
Electronic Semiconductors, Components and Circuits, Integrated Systems, Sensor Technology, Theoretical Electrical Engineering
Image and Language Processing, Computer Graphics and Visualisation, Human Computer Interaction, Ubiquitous and Wearable Computing
Mathematics
Image and Language Processing, Computer Graphics and Visualisation, Human Computer Interaction, Ubiquitous and Wearable Computing
Mathematics
Term
from 2015 to 2022
Project identifier
Deutsche Forschungsgemeinschaft (DFG) - Project number 273264444
This project will explore machine learning and recovery algorithms for multi-sensor data fusion and spectral unmixing signal processing in earth observation. The satellite signals are modeled as being encoded by distributed and non-linear compressed sensing, where the non-linearities arise due to quantization and/or measurement matrices that are data-dependent. The data will be obtained from German Aerospace Center (DLR) instruments.
DFG Programme
Priority Programmes
