5 accepted papers
Recent technological advances in design and processing speed have successfully demonstrated a new snapshot mosaic imaging sensor architecture (SSI), allowing miniaturized platforms to efficiently acquire the spatio-spectral content of the dynamic scenes from a single exposure. However, SSI systems h…
The massive development of remote sensing allowed many novel applications which bring new challenges. In particular, some applications such as marine observation require a good spatial, spectral, and temporal resolution. In order to tackle the last issue, spatio-temporal fusion of remote sensing dat…
In this paper, we assume a set of mobile geolocalized sensor arrays observing an area over time. Each of these arrays consists of heterogeneous and cross-sensitive sensors, i.e., the sensor readings provided by one of such sensors also depends on the readings of the other sensors in the array. We fu…
Random projections recently became popular tools to process big data. When applied to Nonnegative Matrix Factorization (NMF), it was shown that, in practice, with the same compression level, structured random projections were more efficient than classical strategies based on, e.g., Gaussian compress…
In this paper, we consider the problem of blindly calibrating a mobile sensor network-i.e., determining the gain and the offset of each sensor-from heterogeneous observations on a defined spatial area over time. For that purpose, we previously proposed a blind sensor calibration method based on Weig…