SAR data applications in earth observation: An overview

A Tsokas, M Rysz, PM Pardalos, K Dipple - Expert Systems with …, 2022 - Elsevier
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 …

Satellite SAR data-based sea ice classification: An overview

N Zakhvatkina, V Smirnov, I Bychkova - Geosciences, 2019 - mdpi.com
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 …

[HTML][HTML] Arctic sea ice cover data from spaceborne synthetic aperture radar by deep learning

YR Wang, XM Li - Earth System Science Data, 2021 - essd.copernicus.org
Widely used sea ice concentration and sea ice cover in polar regions are derived mainly
from spaceborne microwave radiometer and scatterometer data, and the typical spatial …

Synthetic aperture radar (SAR) for ocean: A review

RM Asiyabi, A Ghorbanian, SN Tameh… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Oceans cover approximately 71% of the Earth's surface and provide numerous services to
the environment and humans. Precise, real-time, and large-scale monitoring of the …

Prediction of categorized sea ice concentration from Sentinel-1 SAR images based on a fully convolutional network

I De Gelis, A Colin, N Longépé - IEEE Journal of Selected …, 2021 - ieeexplore.ieee.org
The consistent and long-term spaceborne synthetic aperture radar (SAR) missions such as
Sentinel-1 (S-1) provide high-quality dual-polarized C-band images particularly suited to …

Retrieval of ocean wave heights from spaceborne SAR in the Arctic Ocean with a neural network

K Wu, XM Li, B Huang - Journal of Geophysical Research …, 2021 - Wiley Online Library
Abstract The twin Sentinel‐1 (S1) satellites have been extensively acquiring synthetic
aperture radar (SAR) data in the Arctic, providing the unique opportunity to obtain ocean …

Textural noise correction for Sentinel-1 TOPSAR cross-polarization channel images

JW Park, JS Won, AA Korosov… - … on Geoscience and …, 2019 - ieeexplore.ieee.org
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 …

Supplementing remote sensing of ice: Deep learning-based image segmentation system for automatic detection and localization of sea-ice formations from close …

N Panchi, E Kim, A Bhattacharyya - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
This paper presents a three-stage approach for the automated analysis of close-range
optical images containing ice objects. The proposed system is based on an ensemble of …

Deep semisupervised teacher–student model based on label propagation for sea ice classification

S Khaleghian, H Ullah, T Kræmer… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
In this article, we propose a novelteacher–student-based label propagation deep
semisupervised learning (TSLP-SSL) method for sea ice classification based on Sentinel-1 …

Light from space illuminating the polar silk road

XM Li, Y Qiu, Y Wang, B Huang, H Lu… - … Journal of Digital …, 2022 - Taylor & Francis
The rapid decline of Arctic sea ice has been reminding us the significant impacts caused by
global warming. However, the other side of the coin is that this opens a window to utilize the …