Results 21 to 30 of about 13,268,437 (192)

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

open access: yesGeo-spatial Information Science, 2023
An accurate Modulation Transfer Function (MTF) is essential for Synthetic Aperture Radar (SAR) wave spectra retrieval. This study aimed to investigate the performance of a quad-polarized wave retrieval algorithm based on fully polarimetric SAR image data
Weizeng Shao   +3 more
doaj   +2 more sources

Decimeter-Level Geolocation Accuracy Updated by a Parametric Tropospheric Model with GF-3

open access: yesSensors, 2018
GaoFen-3 (GF-3) is a multi-polarization C-band synthetic aperture radar (SAR) satellite in China with a resolution of up to 1 m. Up to now, the geolocation accuracy of GF-3 could be improved to 3 m. According to the current study, there still exist meter-
Wentao Wang, Jiayin Liu, Xiaolan Qiu
doaj   +2 more sources

POLARIMETRIC CALIBRATION AND ASSESSMENT OF GF-3 IMAGES IN STEPPE [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018
The GaoFen-3 (GF-3) satellite is the first fully polarimetric synthetic aperture radar (PolSAR) satellite in China. It has three fully polarimetric imaging modes and is available for many applications.
Y. Chang   +5 more
doaj   +2 more sources

Empirical Algorithm for Significant Wave Height Retrieval from Wave Mode Data Provided by the Chinese Satellite Gaofen-3

open access: yesRemote Sensing, 2018
Gaofen-3 (GF-3), the first Chinese civil C-band synthetic aperture radar (SAR), was successfully launched by the China Academy of Space Technology on 10 August 2016.
He Wang   +6 more
doaj   +2 more sources

Machine Learning-Based Wind Direction Retrieval From Quad-Polarized Gaofen-3 SAR Images

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
In this article, an intelligent method for inverting wind direction from quad-polarized Gaofen-3 (GF-3) synthetic aperture radar (SAR) images is proposed.
Weizeng Shao   +3 more
doaj   +2 more sources

Evaluation of Chinese Quad-polarization Gaofen-3 SAR Wave Mode Data for Significant Wave Height Retrieval [PDF]

open access: yesCanadian Journal of Remote Sensing, 2018
Our work describes the accuracy of Chinese quad-polarization Gaofen-3 (GF-3) synthetic aperture radar (SAR) wave mode data for wave retrieval and provides guidance for the operational applications of GF-3 SAR.
Shuai Zhu   +8 more
doaj   +3 more sources

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

open access: yesEuropean Journal of Remote Sensing, 2021
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 collected by the Chinese C-band Gaofen-3 (GF-3) SAR.
Weizeng Shao   +4 more
doaj   +2 more sources

Block Adjustment without GCPs for Chinese Spaceborne SAR GF-3 Imagery

open access: yesSensors, 2018
The Gaofen-3 (GF-3) satellite is the first C-band multi-polarization synthetic aperture radar (SAR) with the ability of high-accuracy mapping in China. However, the Ground Control Points (GCPs) are essential to ensure the accuracy of mapping for GF-3 SAR
Guo Zhang   +9 more
doaj   +2 more sources

GaoFen-3 Mission for InSAR Time Series Analysis: A Quantitative Evaluation

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
GaoFen-3 (GF-3) is China's first civilian high-resolution synthetic aperture radar (SAR) satellite mission. Since its launch in 2016, GF-3 has achieved remarkable success in various SAR application fields.
Yuxiao Qin   +7 more
doaj   +2 more sources

Gaofen-3 PolSAR Image Classification via XGBoost and Polarimetric Spatial Information

open access: yesSensors, 2018
The launch of the Chinese Gaofen-3 (GF-3) satellite will provide enough synthetic aperture radar (SAR) images with different imaging modes for land cover classification and other potential usages in the next few years.
Hao Dong, Xin Xu, Lei Wang, Fangling Pu
doaj   +2 more sources

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