• Publications
  • Influence
Processing of Multiresolution Thermal Hyperspectral and Digital Color Data: Outcome of the 2014 IEEE GRSS Data Fusion Contest
TLDR
The Contest was proposed as a double-track competition: one aiming at accurate landcover classification and the other seeking innovation in the fusion of thermal hyperspectral and color data, resulting in the results obtained by the winners of both tracks. Expand
Generalized minimum-error thresholding for unsupervised change detection from SAR amplitude imagery
  • G. Moser, S. Serpico
  • Mathematics, Computer Science
  • IEEE Trans. Geosci. Remote. Sens.
  • 25 September 2006
TLDR
The image-ratioing approach to SAR change detection is adopted, and the Kittler and Illingworth minimum-error thresholding algorithm is generalized to take into account the non-Gaussian distribution of the amplitude values of SAR images. Expand
SAR amplitude probability density function estimation based on a generalized Gaussian model
TLDR
An innovative parametric estimation methodology for SAR amplitude data is proposed that adopts a generalized Gaussian model for the complex SAR backscattered signal and results prove that the method models the amplitude PDF better than several previously proposed parametric models for backscattering phenomena. Expand
On the Method of Logarithmic Cumulants for Parametric Probability Density Function Estimation
TLDR
Several properties and limitations of the recently proposed method of logarithmic cumulants (MoLC) parameter estimation approach are explored, suggesting that MoLC is a feasible and computationally fast yet not universally applicable alternative to MoM. Expand
Extraction of Spectral Channels From Hyperspectral Images for Classification Purposes
  • S. Serpico, G. Moser
  • Computer Science
  • IEEE Transactions on Geoscience and Remote…
  • 22 January 2007
This paper proposes a procedure to extract spectral channels of variable bandwidths and spectral positions from the hyperspectral image in such a way as to optimize the accuracy for a specificExpand
Combining Support Vector Machines and Markov Random Fields in an Integrated Framework for Contextual Image Classification
  • G. Moser, S. Serpico
  • Mathematics, Computer Science
  • IEEE Transactions on Geoscience and Remote…
  • 1 May 2013
TLDR
The developed contextual generalization of SVMs, is obtained by analytically relating the Markovian minimum-energy criterion to the application of an SVM in a suitably transformed space and a novel contextual classifier is developed in the proposed general framework. Expand
Land-Cover Mapping by Markov Modeling of Spatial–Contextual Information in Very-High-Resolution Remote Sensing Images
TLDR
Focusing on the applicative problem of land-cover mapping from very-high-resolution (VHR) remote sensing images, which is a relevant problem in many applications of environmental monitoring and natural resource exploitation, Markov models convey a great potential, thanks to their capability to effectively describe and incorporate the spatial information associated with image data into an image-classification process. Expand
New Frontiers in Spectral-Spatial Hyperspectral Image Classification: The Latest Advances Based on Mathematical Morphology, Markov Random Fields, Segmentation, Sparse Representation, and Deep Learning
In recent years, airborne and spaceborne hyperspectral imaging systems have advanced in terms of spectral and spatial resolution, which makes the data sets they produce a valuable source for landExpand
Conditional Copulas for Change Detection in Heterogeneous Remote Sensing Images
TLDR
A new preprocessing technique is presented in this paper to automatically highlight changes in multitemporal strongly heterogeneous remotely sensed images where the two acquisitions, before and after a given event, are significantly different, due, for instance, to different sensors, acquisition modalities, or climatic conditions. Expand
Generalized minimum-error thresholding for unsupervised change detection from SAR amplitude imagery
  • G. Moser, S. Serpico
  • Computer Science
  • IEEE Transactions on Geoscience and Remote…
  • 25 July 2005
TLDR
The image-ratioing approach to SAR change detection is adopted, and the Kittler and Illingworth minimum-error thresholding algorithm is generalized to take into account the non-Gaussian distribution of the amplitude values of SAR images. Expand
...
1
2
3
4
5
...