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 Xie, X Jin - IEEE Journal of Selected Topics in …, 2020 - ieeexplore.ieee.org
Terrain classification is an important topic in polarimetric synthetic aperture radar (PolSAR)
image processing and interpretation. A novel PolSAR classification method based on the …
image processing and interpretation. A novel PolSAR classification method based on the …
Machine learning for satellite-based sea-state prediction in an offshore windfarm
Accurate wave forecasts are essential for the safe and efficient maritime operations and, in
particular, the maintenance of offshore wind farms. Here, machine learning and remote …
particular, the maintenance of offshore wind farms. Here, machine learning and remote …
Enhanced estimation of significant wave height with dual-polarization Sentinel-1 SAR imagery
Sentinel-1 synthetic aperture radar (SAR) is one of the most advanced open-access satellite
systems available, benefitting from its capability for earth observation under all-weather …
systems available, benefitting from its capability for earth observation under all-weather …
Green energy sources assessment using sentinel-1 satellite remote sensing
Due to the growing use of Green Energy Sources (GESs), the activities of mapping,
monitoring, measurement, and detection of various GESs have become crucial. Assessing …
monitoring, measurement, and detection of various GESs have become crucial. Assessing …
[HTML][HTML] 星载GNSS-R 海浪有效波高反演模型构建
布金伟， 余科根， 韩帅 - 2022 - xb.chinasmp.com
海浪有效波高是描述海况的重要参数, 在海浪和海洋动力学的预测中起着重要的作用. 然而,
卫星雷达高度计和浮标等传统方法难以实现高时空分辨率的SWH 估计. 星载GNSS-R …
卫星雷达高度计和浮标等传统方法难以实现高时空分辨率的SWH 估计. 星载GNSS-R …