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 …

Quad-polarimetric SAR sea state retrieval algorithm from Chinese Gaofen-3 wave mode imagettes via deep learning

H Wang, J Yang, M Lin, W Li, J Zhu, L Ren… - Remote Sensing of …, 2022 - Elsevier
Synthetic aperture radar (SAR) is a powerful tool for monitoring sea states in terms of the
significant wave height (SWH). Regarding the specific wave mode, to date, the previous …

Wave retrieval from quad-polarized Chinese Gaofen-3 SAR image using an improved tilt modulation transfer function

W Shao, Y Hu, X Jiang, Y Zhang - Geo-Spatial Information Science, 2024 - Taylor & Francis
ABSTRACT An accurate Modulation Transfer Function (MTF) is essential for Synthetic
Aperture Radar (SAR) wave spectra retrieval. This study aimed to investigate the …

Ship detection in SAR images via local contrast of Fisher vectors

X Wang, G Li, XP Zhang, Y He - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Existing superpixel-based detection algorithms for ship targets in synthetic aperture radar
(SAR) images are often derived from the local contrast of intensities (ie, the local contrast of …

Measurement of sea waves

GB Rossi, A Cannata, A Iengo, M Migliaccio… - Sensors, 2021 - mdpi.com
Sea waves constitute a natural phenomenon with a great impact on human activities, and
their monitoring is essential for meteorology, coastal safety, navigation, and renewable …

Machine learning applied to a dual-polarized Sentinel-1 image for wind retrieval of tropical cyclones

Y Hu, W Shao, W Shen, Y Zhou, X Jiang - Remote Sensing, 2023 - mdpi.com
In this work, three types of machine learning algorithms are applied for synthetic aperture
radar (SAR) wind retrieval in tropical cyclones (TCs), and the optimal method is confirmed. In …

Wind speed retrieval from Chinese Gaofen-3 synthetic aperture radar using an analytical approach in the nearshore waters of China's seas

R Yao, W Shao, X Jiang, T Yu - International Journal of Remote …, 2022 - Taylor & Francis
Empirical wind-retrieval algorithms for synthetic aperture radar (SAR), such as the
geophysical model function (GMF) CMOD5N in the C-Band, are currently well developed …

Novel approach to wind retrieval from Sentinel-1 SAR in tropical cyclones

X Zhao, W Shao, M Hao, X Jiang - Canadian Journal of Remote …, 2023 - Taylor & Francis
The strong winds in tropical cyclones (TCs) are commonly retrieved from cross-polarized
SAR images using a geophysical model function (GMF). However, the accuracy of wind …

Wind speed retrieval from the Gaofen-3 synthetic aperture radar for VV-and HH-polarization using a re-tuned algorithm

W Shao, F Nunziata, Y Zhang, V Corcione… - European Journal of …, 2021 - Taylor & Francis
In this study, a re-tuned algorithm based on the geophysical model function (GMF) C-
SARMOD2 is proposed to retrieve wind speed from Synthetic Aperture Radar (SAR) imagery …

Impact of polarization basis on wind and wave parameters estimation using the azimuth cutoff from GF-3 SAR imagery

L Bao, X Zhang, C Cao, X Wang, Y Jia… - … on Geoscience and …, 2022 - ieeexplore.ieee.org
The azimuth cutoff wavelength of synthetic aperture radar (SAR) is an important parameter
for retrieval of sea surface wind and wave. Earlier studies have fully demonstrated the …