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EJASP
2010
133views more  EJASP 2010»
13 years 4 months ago
Improving Density Estimation by Incorporating Spatial Information
Given discrete event data, we wish to produce a probability density that can model the relative probability of events occurring in a spatial region. Common methods of density esti...
Laura M. Smith, Matthew S. Keegan, Todd Wittman, G...
IGARSS
2009
13 years 7 months ago
Affine Compensation of Illumination in Hyperspectral Remote Sensing Images
A problem when working with optical satellite or airborne images is the need to compensate for changes in the illumination conditions at the time of acquisition. This is particula...
Pedro Latorre Carmona, Jose Moreno, Filiberto Pla,...
CVPR
2000
IEEE
14 years 12 months ago
Learning in Gibbsian Fields: How Accurate and How Fast Can It Be?
?Gibbsian fields or Markov random fields are widely used in Bayesian image analysis, but learning Gibbs models is computationally expensive. The computational complexity is pronoun...
Song Chun Zhu, Xiuwen Liu
CVPR
2008
IEEE
13 years 11 months ago
Building reconstruction from a single DEM
We present a new approach for building reconstruction from a single Digital Elevation Model (DEM). It treats buildings as an assemblage of simple urban structures extracted from a...
Florent Lafarge, Xavier Descombes, Josiane Zerubia...
PAMI
2010
124views more  PAMI 2010»
13 years 4 months ago
Structural Approach for Building Reconstruction from a Single DSM
We present a new approach for building reconstruction from a single Digital Surface Model (DSM). It treats buildings as an assemblage of simple urban structures extracted from a li...
Florent Lafarge, Xavier Descombes, Josiane Zerubia...