On the exploitation of remote sensing technologies for the monitoring of coastal and river delta regions
Q Zhao, J Pan, AT Devlin, M Tang, C Yao… - Remote Sensing, 2022 - mdpi.com
Remote sensing technologies are extensively applied to prevent, monitor, and forecast
hazardous risk conditions in the present-day global climate change era. This paper presents …
hazardous risk conditions in the present-day global climate change era. This paper presents …
Combining ERA5 data and CYGNSS observations for the joint retrieval of global significant wave height of ocean swell and wind wave: a deep convolutional neural …
As an emerging remote sensing technology, GNSS reflectometry (GNSS-R) has been widely
investigated for retrieving ocean parameters including ocean significant wave height (SWH) …
investigated for retrieving ocean parameters including ocean significant wave height (SWH) …
Improvement of VV-polarization tilt MTF for Gaofen-3 SAR data of a tropical cyclone
Y Hu, W Shao, X Jiang, W Zhou, J Zuo - Remote Sensing Letters, 2023 - Taylor & Francis
In this paper, an essential modulation transfer function (MTF) on synthetic aperture radar
(SAR), denoted as tilt modulation, is improved through five vertical–vertical (VV) polarized …
(SAR), denoted as tilt modulation, is improved through five vertical–vertical (VV) polarized …
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 …
aperture radar (SAR) data in the Arctic, providing the unique opportunity to obtain ocean …
Evaluation of multi-incidence angle polarimetric Gaofen-3 SAR wave mode data for significant wave height retrieval
C Fan, T Song, Q Yan, J Meng, Y Wu, J Zhang - Remote Sensing, 2022 - mdpi.com
Significant wave height (SWH) is one of the most important descriptors for ocean wave
fields. The polynomial regression (PolR) and Gaussian process regression (GPR) models …
fields. The polynomial regression (PolR) and Gaussian process regression (GPR) models …
Three-channel convolutional neural network for polarimetric SAR images classification
W Hua, W **,
monitoring, measurement, and detection of various GESs have become crucial. Assessing …
monitoring, measurement, and detection of various GESs have become crucial. Assessing …
Polarization-Enhancement Effects for the Retrieval of Significant Wave Heights from Gaofen-3 SAR Wave Mode Data
Q Yan, C Fan, T Song, J Zhang - Remote Sensing, 2023 - mdpi.com
In order to investigate the impact of utilizing multiple pieces of polarization information on the
performance of significant wave height (SWH) estimation from Gaofen-3 SAR data, the …
performance of significant wave height (SWH) estimation from Gaofen-3 SAR data, the …