Shadows in remote sensing images often result in problems for many applications such as land-cover classification, change detection, and damage detection in disasters. Due to thes...
In this paper, we propose a novel remote sensing method that is adequate for rainfall rate measurements in real time by means of tomographic processing applied to power attenuatio...
This paper presents experiments with the ORFEO ToolBox (OTB) developed by the CNES in the context of the Brussels project ARMURS about map updating. Depending on the availability ...
Christophe Simler, Charles Beumier, Christine Leig...
Spectral mixture analysis is an important task for remotely sensed hyperspectral data interpretation. In spectral unmixing, both the determination of spectrally pure signatures (e...
The main purpose of this paper is to describe available (HPC)based implementations of remotely sensed hyperspectral image processing algorithms on multi-computer clusters, heterog...