Landslides are geomorphological processes that shape the landscapes of all continents,
dismantling mountains and contributing sediments to the river networks. Caused by …

This article brings together the advances of multisource and multitemporal data fusion
approaches with respect to the various research communities and provides a thorough and …

In this paper, we propose an analysis on the joint effect of hyperspectral and light detection
and ranging (LIDAR) data for the classification of complex forest areas. In greater detail, we …

In this paper, we present a new similarity measure for automatic change detection in
multitemporal synthetic aperture radar images. This measure is based on the evolution of …

SAR data are almost independent from weather conditions, and thus are well suited for
mapping of seasonally changing variables such as land cover. In regard to recent and …

Statistical modeling is essential to SAR (Synthetic Aperture Radar) image interpretation. It
aims to describe SAR images through statistical methods and reveal the characteristics of …

In this paper, an efficient statistical model, called generalized Gamma distribution (GΓD), for
the empirical modeling of synthetic aperture radar (SAR) images is proposed. The GΓD …

Efficient estimation of the interferometric phase and complex correlation is fundamental for
the full exploitation of interferometric synthetic aperture radar (InSAR) capabilities …

Rapid, reliable, and continuous information is an essential component in disaster monitoring
and management. Remote sensing data could be a solution, but often cannot provide …

In the context of remotely sensed data analysis, an important problem is the development of
accurate models for the statistics of the pixel intensities. Focusing on synthetic aperture …