Most applications of land cover maps that have been derived from satellite data over the
Arctic require higher thematic detail than available in current global maps. A range of …

Segmentation and classification are two imperative, yet challenging tasks in image analysis
for remote-sensing applications. In the former, an image is divided into spatially continuous …

Efficient methods to monitor forested areas help us to better understand their processes. To
date, only a few studies have assessed the usability of multitemporal synthetic aperture …

The classification of urban areas in polarimetric synthetic aperture radar (PolSAR) data is a
challenging task. Moreover, urban structures oriented away from the radar line of sight pose …

A new classifier for Polarimetric SAR (PolSAR) images is proposed and assessed in this
paper. Its input consists of segments, and each one is assigned the class which minimizes a …

Practical approaches for the implementation of terrain type dependent radiometric slope
correction for SAR data are introduced. Radiometric slope effects are modelled as the …

Operational services based on SAR data from satellite missions are showing to have the
potentialities of becoming a real scenario; nevertheless, the complexity of data pre …

Traditional image classification methods are undertaken using the pixel as the research unit.
These methods cannot use semantic information, and their classification results may not …

Forest biomass retrieval using P-band synthetic aperture radar (SAR) data has been studied
during the past two decades. However, much progress remains necessary to recover …

This paper presents a processing chain for the change detection of Arctic glaciers from
multitemporal multipolarization synthetic aperture radar (SAR) images. We produce terrain …