Coupled Spectral Unmixing for Multidimensional High-Resolution Analysis

Project Leader
Dr. Naoto Yokoya (Alexander von Humboldt Research Fellowship)

Host institute
Prof. Dr. Xiaoxiang Zhu
Remote Sensing Technology Institute, German Aerospace Center
Signal Processing in Earth Observtion, Technische Universität München

Cooperation Partners
University of Tokyo

Multisensory Spectral Unmixing

The objective of the project is to develop a methodological framework for generalized coupled spectral unmixing to simultaneously unmix multisensor and multitemporal spectral images. The framework is applied to time series analysis and resolution enhancement of hyperspectral imagery. The outcome of the project will promote synergy and fusion of spaceborne hyperspectral and multispectral data (e.g., EnMAP and Sentinel-2). The following figure shows the developed multisensor coupled spectral unmixing (MuCSUn) algorithm