Results 31 to 40 of about 40,312,078 (138)

Verification of Complex Image Based Sparse SAR Imaging Method on GaoFen-3 Dataset

Leida xuebao, 2020
Sparse signal processing-based Synthetic Aperture Radar (SAR) imaging, also known as sparse SAR imaging, is the main research direction of sparse microwave imaging theory.
BI Hui, ZHANG Bingchen, HONG Wen, WU Yirong   +3 more
doaj   +1 more source

A Benchmark High-Resolution GaoFen-3 SAR Dataset for Building Semantic Segmentation [PDF]

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Deep learning is increasingly popular in remote sensing communities and already successful in land cover classification and semantic segmentation. However, most studies are limited to the utilization of optical datasets. Despite few attempts applied to synthetic aperture radar (SAR) using deep learning, the huge potential, especially for the very high ...
Junshi Xia, Naoto Yokoya, Bruno Adriano, Lianchong Zhang, Guoqing Li, Zhigang Wang   +5 more
openaire   +3 more sources

Analysis of Wave Breaking on Gaofen-3 and TerraSAR-X SAR Image and Its Effect on Wave Retrieval

Remote Sensing, 2023
The main purpose of our work is to investigate the performance of wave breaking and its effect on wave retrieval in data acquired from the Chinese Gaofen-3 (GF-3) synthetic aperture radar (SAR) at C-band and the German TerraSAR-X (TS-X) at X-band.
Ruozhu Zhong, Weizeng Shao, Chi Zhao, Xingwei Jiang, Juncheng Zuo   +4 more
doaj   +1 more source

Polarimetric Calibration Scheme Combining Internal and External Calibrations, and Experiment for Gaofen-3 [PDF]

IEEE Access, 2020
The parameters for polarization distortion of spaceborne polarimetric synthetic aperture radar (SAR) have range-dependence (or look-angle-dependence), which requires a polarimetric calibration to be performed at any look-angle. It is a huge endeavor to rely solely on ground experiments to obtain a polarimetric calibration at all look-angles.
WeiBin Liang, Zengzeng Jia, Jun Hong 0010, Qingjun Zhang, Aichun Wang, Zhaoguo Deng   +5 more
openaire   +2 more sources

SAHARA: A Simplified AtmospHeric Correction AlgoRithm for Chinese gAofen Data: 1. Aerosol Algorithm [PDF]

, 2017
The recently launched Chinese GaoFen-4 (GF4) satellite provides valuable information to obtain geophysical parameters describing conditions in the atmosphere and at the Earth’s surface. The surface reflectance is an important parameter for the estimation
Jie Guang, Guang, Jie, Yahui Che, Lu She, Mei, Linlu, Yong Xue, Xue, Yong, She, Lu, Che, Yahui, Linlu Mei   +9 more
core   +1 more source

Analysis of polarisation features of typical targets in Chengdu using GF-3 fully polarimetric synthetic aperture radar data

The Journal of Engineering, 2019
The fully polarimetric synthetic aperture radar (SAR) data contain much backscatter intensity information and have great advantage for land monitoring.
Xiaoxia Wang, Wei Zhang, Qing Ding, Changli Zheng, Jinghui Luo   +4 more
doaj   +1 more source

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

, 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.
Yuan, Xinzhe, Armando, Marino, Hu, Jiachen, Zhu, Shuai, Shi, Jian, Yang, Dongkai, Shao, Weizeng, Sun, Jian, Zuo, Juncheng, Weizeng Shao, Jian Shi, Xinzhe Yuan, Shuai Zhu, Marino Armando, Juncheng Zuo, Jian Sun, Dongkai Yang, Jiachen Hu   +17 more
core   +1 more source

Validation of Surface Waves Investigation and Monitoring Data against Simulation by Simulating Waves Nearshore and Wave Retrieval from Gaofen-3 Synthetic Aperture Radar Image

Remote Sensing, 2023
The Chinese-French Oceanography SATellite (CFOSAT) jointly developed by the Chinese National Space Agency (CNSA) and the Centre National d’Etudes Spatiales (CNES) of France carries a wave spectrometer (Surface Waves Investigation and Monitoring, SWIM ...
Mengyu Hao, Weizeng Shao, Shaohua Shi, Xing Liu, Yuyi Hu, Juncheng Zuo   +5 more
doaj   +1 more source

Object-Level Semantic Segmentation on the High-Resolution Gaofen-3 FUSAR-Map Dataset [PDF]

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Land cover classification with SAR images mainly focuses on the utilization of fully polarimetric SAR (PolSAR) images. The conventional task of PolSAR classification is single-pixel-based region-level classification using polarimetric target decomposition.
Xianzheng Shi, Shilei Fu, Jin Chen, Feng Wang 0022, Feng Xu 0001   +4 more
openaire   +2 more sources

Baseline Estimation Using DEM Prior Knowledge and Capability Analysis for Gaofen-3 Repeat-Pass SAR Interferometry

IEEE Access, 2019
In this paper, the study on the digital elevation model (DEM) reconstruction using Gaofen-3 satellite repeat-pass synthetic aperture radar (SAR) interferometry is presented.
Lixiang Ma, Yue Wang, Qingjun Zhang, Yu Zhu, Yue Zhang, Mingming Bian   +5 more
doaj   +1 more source