The availability of Shuttle Radar Topography Mission (SRTM) data opens the possibility to characterize urban areas by means of this sensor all over the world. In particular, the global digital elevation model (DEM) can provide a three-dimensional atlas of urban agglomerates. However, the coarse ground resolution and the problems due to radar imaging of the complex urban environments do not allo...

This paper presents a novel image matching method for multi-source satellite images, which integrates global Shuttle Radar Topography Mission (SRTM) data and image segmentation to achieve robust and numerous correspondences. This method first generates the epipolar lines as a geometric constraint assisted by global SRTM data, after which the seed points are selected and matched. To produce more...

We illustrate this method by using a higher resolution, but globally less accurate, DEM produced by the TOPSAR airborne instrument over the Galapagos Islands to augment the SRTM data set in this area, We combine this data set with SRTM to use each set to fill in holes left over by the other imaging system. The infilling is done by first interpolating each data set using a prediction error filte...

Regional scale geological maps are still not available for many remote parts of the Earth. All geological maps contain two fundamental pieces of information: a) lithological data: a list of the various rock types present, and b) structural data: geometrical information that describes the spatial relationships of the various rock units. For the purposes of regional scale geological mapping the s...

Over the last few years DSMs derived from satellite sensors, as SRTM (Space Shuttle Radar Topography Mission) and ASTER (Advance Space borne Thermal Emission and Reflection Radiometer) DSMs, have been issued and continuously updated. The SRTM DSM is delivered in three different versions (Finished, DTED, CGIAR), with different nominal accuracy covering a large part of the world at a resolution o...

SRTM/DTM2006.0 residual terrain model data to improve quasigeoid computations in mountainous areas devoid of gravity data, Journal of Geodesy 84(9): 557-567. Abstract: A global geopotential model, like EGM2008, is not capable of representing the high-frequency components of Earth's gravity field. This is known as the omission error. In mountainous terrain, omission errors in EGM2008, even when ...

INTRODUCTION Alteration of γ-aminobutyric acid "A" (GABAA) receptor-mediated neurotransmission has been associated with various neurological and psychiatric disorders. [11C]Ro15-4513 is a PET ligand with high affinity for α5-subunit-containing GABAA receptors, which are highly expressed in limbic regions of the human brain (Sur et al., 1998). We quantified the test-retest reproducibility of mea...

Computing confidence scores for applications, such as dialogue system, information retrieving and extraction, is an active research area. However, its focus has been primarily on computing word-, concept-, or utterance-level confidences. Motivated by the need from sophisticated dialogue systems for more effective dialogs, we generalize the confidence annotation to all the subtrees, the first ef...

Learning latent representations is playing a pivotal role in machine learning and many application areas. Previous work on the relational topic model (RTM) has shown promise on learning latent topical representations for describing relational document networks and predicting pairwise links. However under a probabilistic formulation with normalization constraints, RTM could be ineffective in con...