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- Taesu Kim, Torbjørn Eltoft, Te-Won Lee
- ICA
- 2006

- Stian Normann Anfinsen, Torbjørn Eltoft
- IEEE Trans. Geoscience and Remote Sensing
- 2011

In this paper, we propose to use a matrix-variate Mellin transform in the statistical analysis of multilook polarimetric radar data. The domain of the transform integral is the cone of complex positive definite matrices, which allows for transformation of the distributions used to model the polarimetric covariance and coherency matrix. Based on the… (More)

- Torbjørn Eltoft, Taesu Kim, Te-Won Lee
- IEEE Signal Processing Letters
- 2006

In this letter, we discuss the multivariate Laplace probability model in the context of a normal variance mixture model. We briefly review the derivation of the probability density function (pdf) and discuss a few important properties. We then present two methods for estimating its parameters from data and include an example of usage, where we apply the… (More)

- Stian Normann Anfinsen, Anthony Paul Doulgeris, Torbjørn Eltoft
- IEEE Trans. Geoscience and Remote Sensing
- 2009

This paper addresses estimation of the equivalent number of looks (ENL), an important parameter in statistical modelling of multilook synthetic aperture radar (SAR) images. Two new ENL estimators are discovered by looking at certain moments of the multilook polarimetric covariance matrix, which is commonly used to represent multilook polarimetric SAR data,… (More)

- Stian Solbo, Torbjørn Eltoft
- IEEE Trans. Geoscience and Remote Sensing
- 2004

In this paper, we introduce the homomorphic -WMAP (wavelet maximum a posteriori) filter, a wavelet-based statistical speckle filter equivalent to the well known -MAP filter. We perform a logarithmic transformation in order to make the speckle contribution additive and statistically independent of the radar cross section. Further, we propose to use the… (More)

- Ashish Bhargave, Rui J. P. de Figueiredo, Torbjørn Eltoft
- GLOBECOM
- 2001

- Torbjørn Eltoft, Rui J. P. de Figueiredo
- IEEE Trans. Neural Networks
- 1998

We propose in this paper a new unsupervised neural network which is capable of clustering a set of experimental data according to a given generic interpoint similarity measure, and then assign to each new input its appropriate cluster label. The network is able to do this for clusters of any shape, and without knowing in advance the number of clusters to be… (More)

- Stine Skrunes, Camilla Brekke, Torbjørn Eltoft
- IEEE Trans. Geoscience and Remote Sensing
- 2014

In this paper we study surface slick characterization in polarimetric C-band synthetic aperture radar (SAR) data. The objective is to identify the most powerful multi-polarization SAR descriptors for mineral oil spill versus biogenic slick discrimination. A systematic comparison of eight well-known multipolarization features is provided. The analysis is… (More)

- Robert Jenssen, Torbjørn Eltoft
- Pattern Recognition
- 2003

- Anthony Paul Doulgeris, Stian Normann Anfinsen, Torbjørn Eltoft
- IEEE Trans. Geoscience and Remote Sensing
- 2008

In this paper, we present a generalized Wishart classifier derived from a non-Gaussian model for polarimetric synthetic aperture radar (PolSAR) data. Our starting point is to demonstrate that the scale mixture of Gaussian (SMoG) distribution model is suitable for modeling PolSAR data. We show that the distribution of the sample covariance matrix for the… (More)