This study examines ALOS-2 PALSAR L-band dual-polarization (HH and HV) SAR data and
Landsat-8 optical imagery for land cover classification. The SAR data has been …

This paper presents the first comprehensive review on the scientific utilization of earth
observation data provided by the German TerraSAR-X mission. It considers the different …

The typical processing chain for pixel-wise classification from PolSAR images starts with an
optional preprocessing step (eg speckle reduction), continues with extracting features …

With the increase of resolution, effective characterization of synthetic aperture radar (SAR)
image becomes one of the most critical problems in many earth observation applications …

This paper proposes the use of Stacked Random Forests (SRF) for the classification of
Polarimetric Synthetic Aperture Radar images. SRF apply several Random Forest instances …

Current and forthcoming sensor technologies and space missions are providing remote
sensing scientists and practitioners with an increasing wealth and variety of data modalities …

Accurate knowledge of the statistical properties of synthetic aperture radar (SAR) amplitude
data is essential for the processing and interpretation of SAR images. During the last few …

This study uses elliptical copulas and transition probabilities for uncertainty modeling of
categorical spatial data. It begins by discussing the expressions of the cumulative …

Pixel labeling problem stands among the most commonly considered topics in image
processing. Many statistical approaches have been developed for this purpose, particularly …

Synthetic Aperture Radar Image Classification is one of the four problem domains in the field
of Automatic Target Recognition. This paper proposes Wavelet transform based Euclidean …