Results 91 to 100 of about 1,017 (151)

Radiometric Cross-Calibration of GF-4 in Multispectral Bands

Remote Sensing, 2017
The GaoFen-4 (GF-4), launched at the end of December 2015, is China’s first high-resolution geostationary optical satellite. A panchromatic and multispectral sensor (PMS) is onboard the GF-4 satellite.
Aixia Yang, Bo Zhong, Shanlong Wu, Qinhuo Liu   +3 more
doaj   +1 more source

Machine Learning-Based Algorithm for Gaofen-3 Wind Vector Retrieval With Assimilation by COAWST in China Seas

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
This study develops a novel machine learning-based algorithm for retrieving wind vectors from Gaofen-3 (GF-3) synthetic aperture radar (SAR) imagery. In addition, we explore the assimilation of SAR-derived wind fields with the Coupled Ocean-Atmosphere ...
Lu Liu, Jiale Chen, Weizeng Shao, Maurizio Migliaccio, Xingwei Jiang, Song Hu   +5 more
doaj   +1 more source

A Promising Method of Typhoon Wave Retrieval from Gaofen-3 Synthetic Aperture Radar Image in VV-Polarization

Sensors, 2018
The motivation of this work is to explore the possibility of typhoon wave retrieval (the main parameter is significant wave height (SWH)) for C-band Gaofen (GF-3) synthetic aperture radar (SAR) with a wide swath coverage (>400 km). We aim to establish
Qiyan Ji, Weizeng Shao, Yexin Sheng, Xinzhe Yuan, Jian Sun, Wei Zhou, Juncheng Zuo   +6 more
doaj   +1 more source

Development of Wind Speed Retrieval from Cross-Polarization Chinese Gaofen-3 Synthetic Aperture Radar in Typhoons

Sensors, 2018
The purpose of our work is to determine the feasibility and effectiveness of retrieving sea surface wind speeds from C-band cross-polarization (herein vertical-horizontal, VH) Chinese Gaofen-3 (GF-3) SAR images in typhoons.
Weizeng Shao, Xinzhe Yuan, Yexin Sheng, Jian Sun, Wei Zhou, Qingjun Zhang   +5 more
doaj   +1 more source

A Systematic Review of Ship Wake Detection Methods in Satellite Imagery [PDF]

The field of maritime surveillance is one of great strategical importance from the point of view of both civil and military applications. The growing availability of spaceborne imagery makes it a great tool for ship detection, especially when paired with
Graziano, Maria Daniela, Mazzeo, Andrea, Renga, Alfredo   +2 more
core   +1 more source

Enhancing Road Extraction in Large-Scale Complex Terrain through Multi-Source Remote Sensing Image Fusion and Optimization

Remote Sensing
In large-scale remote sensing scenarios characterized by intricate terrain, the straightforward road imaging features in synthetic aperture radar (SAR) images make them susceptible to interference from other elements such as ridges, compromising the ...
Longqiang Fu, Huiming Chai, Xiaolei Lv
doaj   +1 more source

A$^{2}$-MAE: A spatial-temporal-spectral unified remote sensing pre-training method based on anchor-aware masked autoencoder

Vast amounts of remote sensing (RS) data provide Earth observations across multiple dimensions, encompassing critical spatial, temporal, and spectral information which is essential for addressing global-scale challenges such as land use monitoring ...
Cao, Shilei, Chen, Mengxuan, Dong, Runmin, Feng, Litong, Fu, Haohuan, Li, Weijia, Liu, Wei, Yuan, Shuai, Zhang, Jinxiao, Zhang, Lixian, Zhang, Wayne, Zhao, Yi, Zheng, Juepeng   +12 more
core  

Atmospheric Cloud Image Detection with Convolutional Neural Network (CNN) [PDF]

Cloud is an aerosol consisting of visible mass of miniature liquid droplets, frozen crystal, or other particles suspended in the atmosphere. The study of atmospheric clouds is crucial for us to better understand and predict the behaviors of clouds, which
Lim, Sin Liang, Lo, Pei Yong
core   +1 more source

S2RC-GCN: A Spatial-Spectral Reliable Contrastive Graph Convolutional Network for Complex Land Cover Classification Using Hyperspectral Images

Spatial correlations between different ground objects are an important feature of mining land cover research. Graph Convolutional Networks (GCNs) can effectively capture such spatial feature representations and have demonstrated promising results in ...
Feng, Ruyi, Guan, Renxiang, Li, Xianju, Li, Zihao, Song, Chujia, Yu, Guo   +5 more
core  

Comparative Analysis of Advanced Feature Matching Algorithms in Challenging High Spatial Resolution Optical Satellite Stereo Scenarios

Feature matching determines the orientation accuracy for the High Spatial Resolution (HSR) optical satellite stereos, subsequently impacting several significant applications such as 3D reconstruction and change detection.
Han, Ting, Huang, Xu, Luo, Qiyan, Xie, Yuzhen, Zhang, Jidan   +4 more
core