Amézaga, Adrià (Date of defense: 2020-11-25)
Synthetic Aperture Radar (SAR) has proven a valuable tool in the monitoring of the Earth, either at a global or local scales. SAR is a coherent radar system able to image extended areas with high ...
Kumar, Dhiraj (Date of defense: 2012-07-16)
The increasing need for range-resolved aerosol and water-vapour atmospheric observation networks worldwide has given rise to multi-spectral LIDARs (Light Detection and Ranging, a synonym of laser radar) ...
Fernández Canti, Rosa Ma. (Date of defense: 2013-02-07)
In the Control Engineering field, the so-called Robust Identification techniques deal with the problem of obtaining not only a nominal model of the plant, but also an estimate of the uncertainty associated ...
Batet Torrell, Óscar (Date of defense: 2011-07-27)
The techniques for detection of the atmosphere constituents and their distribution in the space have evolved in the last years driven by needs in the environmental, meteorological and climate science ...
Oikonomakou, Maria (Date of defense: 2019-04-10)
During the recent years, a huge augmentation of the data traffic volume has been noticed, while a further steep increase is expected in the following years. As a result, questions have been raised over ...
Suau Cuadros, Xavier (Date of defense: 2013-12-04)
Human body analysis is one of the broadest areas within the computer vision field. Researchers have put a strong effort in the human body analysis area, specially over the last decade, due to the ...
Vilalta Cañellas, Ricard (Date of defense: 2013-12-03)
Virtual optical networking supports the dynamic provisioning of dedicated networks over the same network infrastructure, which has received a lot of attention by network providers. The stringent network ...
Garrido Ostermann, Luís (Date of defense: 2002-06-14)
Este trabajo estudia la utilidad de representaciones jerárquicas basadas en regiones para el procesado de imagen y de secuencias de vídeo. Las representaciones basadas en regiones ofrecen una forma de ...
Salvador, Amaia (Date of defense: 2019-06-27)
In the past decade, deep neural networks have revolutionized computer vision. High performing deep neural architectures trained for visual recognition tasks have pushed the field towards methods relying ...
Nadal Reixats, Laia (Date of defense: 2014-11-21)
Due to the increasing global IP traffic and the exponential growing demand for broadband services, optical networks are experimenting significant changes. Advanced modulation formats are being implemented ...