Hyperspectral imaging is a new technique in remote sensing that generates hundreds of images, corresponding to different wavelength channels, for the same area on the surface of t...
: In this article we present an architecture for the integration of tutoring approaches and process scaffolds into existing collaborative applications. The architecture allows to c...
Spectral unmixing is an important task for remotely sensed hyperspectral data exploitation. Linear spectral unmixing relies on two main steps: 1) identification of pure spectral c...
There are two major challenges for a high-performance remote-sensing database. First, it must provide low-latency retrieval of very large volumes of spatio-temporaldata. This requ...
—Patient monitoring via video and physiological data recording can now be performed outside hospitals. This procedure, usually performed in a prolonged manner, generates a consid...
Qiang Liu, Datong Chen, Mingui Sun, Robert J. Scla...