Mapping of wind-thrown forests using satellite SAR images

In this study, we propose a new method that com- bines SAR interferometry and optical images from Google Earth to map active rock glaciers (ARGs) in the northern Tien Shan (NTS)

The methods are based on geocoded simulated image layers for building / wall layover, shadow areas, and ground parts, which are directly superimposed on high resolution SAR

Identification of potential oil spills on Synthetic Aperture Radar (SAR) satellite images is a complex process. Oil companies, as well as the coast guard have tested a whole range

The two processes proposed for the retrieval of the local flood depth near an inundated building and for the mapping of the flood extent from SAR images, were evaluated by

This letter presents the evaluation of three FCNNs for road segmentation in high resolution SAR satellite images: FCN- 8s [4], Deep Residual U-Net [5] and DeepLabv3+ [9]..

This paper focuses on future challenges offered by very high resolution SAR amplitude images of urban areas, on their understanding and interpretation, including in the analysis

Examination of several combinations of satellite SAR data as a substitute for LAI within the L-MEB model showed, that when ALOS PALSAR (L-band) and multi-temporal composite

(3) Further improve the U-Net methodology by augmenting the dataset of manually annotated images through the use of Generative Adversarial Networks (GANs) to generate SAR images