3 accepted papers
Sparse Blind Source Separation (BSS) has become a well established tool for a wide range of applications – for instance, in astrophysics and remote sensing. Classical sparse BSS methods, such as the Proximal Alternating Linearized Minimization (PALM) algorithm, nevertheless o…
Understanding the scene around the ego-vehicle is key to assisted and autonomous driving. Nowadays, this is mostly conducted using cameras and laser scanners, despite their reduced performances in adverse weather conditions. Automotive radars are low-cost active sensors that measure properties of su…
With the advent of very high spatial, spectral, and temporal resolution satellites, Satellite Image Time Series (SITS) analysis and interpretation become even more challenging than before. Besides, several conventional techniques for controlling and monitoring anarchic urban expansion have been init…