In this review, we present the main approaches developed around satellite and airborne
Synthetic Aperture Radar (SAR) imagery. The great range of SAR imagery applications is …

A review of the main approaches developed for sea ice classification using satellite imagery
is presented. Satellite data are the main and very often only information source for sea ice …

A new algorithm for classification of sea ice types on Sentinel-1 Synthetic Aperture Radar
(SAR) data using a convolutional neural network (CNN) is presented. The CNN is trained on …

A new Sentinel-1 image-based sea ice classification algorithm using a machine-learning-
based model trained in a semi-automated manner is proposed to support daily ice charting …

Sea ice profoundly influences ocean circulation, the polar environment, biology, climate, and
commercial activities. The rapidly changing sea ice environment and increased human …

In this paper, the performance of C-band synthetic aperture radar (SAR) Gaofen-3 (GF-3)
quad-polarization Stripmap (QPS) data is assessed for classifying late spring and summer …

Identifying sea ice types in the early stages of development from L-band SAR imagery
remains an active research area during the Arctic freeze-up period. We used ScanSAR C …

The thermal noise-induced distortions in a Sentinel-1 terrain observation with progressive
scans synthetic aperture radar image cannot be corrected by the noise equivalent sigma …

We present an approach for automatic classification of Arctic sea ice and open water from
spaceborne C-band RADARSAT-2 fully polarimetric (HH, HV, VH, VV) synthetic aperture …

Sea ice leads in the Arctic Ocean and Antarctic Ocean are of great significance to polar
ecology, climate change, and ship navigation. While rule-based remote-sensing …