Results 41 to 50 of about 61,795 (173)

IP-Level Satellite Link Emulation with KauNet [PDF]

, 2009
Distributed applications and transport protocols communicating over a satellite link may react very strongly to conditions specific to that kind of link.
Garcia, Johan,, Pérennou, Tanguy, Garcia, Johan, Amine Bouabdallah, Anna Brunstrom, Brunström, Anna,, Hurtig, Per, Brunstrom, Anna, Per Hurtig, Tanguy Perennou, Johan Garcia, Bouabdallah, Amine, Hurtig, Per,   +12 more
core   +1 more source

A New RD-RFM Stereo Geolocation Model for 3D Geo-Information Reconstruction of SAR-Optical Satellite Image Pairs

IEEE Access, 2020
Nowadays, numerous earth-observation data are obtained from different kinds of platforms, in which data from synthetic aperture radar (SAR) sensors and optical sensors account for the vast majority.
Niangang Jiao, Feng Wang, Hongjian You
doaj   +1 more source

Radiometric and Polarimetric Quality Validation of Gaofen-3 over a Five-Year Operation Period

, 2023
GaoFen-3 was the first Chinese civilian C-band synthetic aperture radar (SAR) satellite, launched in August 2016. The need for monitoring the satellite’s image quality has been boosted by its widespread applications in various fields. The efficient
Jie Yang, Shanwei Liu, Pingxiang Li, Weidong Sun, Le Yang, Lingli Zhao, Deren Li, Lei Shi   +7 more
core   +1 more source

National Sea Area Use Dynamic Monitoring Based on GF-3 SAR Imagery

Leida xuebao, 2017
GaoFen-3 (GF-3) is the first commercial C-Band multi-polarimetric Synthetic Aperture Radar (SAR) satellite that was launched by China. The characteristics observed by both all-day and all-weather observation depict significant advantages of national sea ...
Fan Jianchao, Wang Deyi, Zhao Jianhua, Song Derui, Han Min, Jiang Dawei   +5 more
doaj   +1 more source

Co-seismic deformation of the 2017Ms7.0 Jiuzhaigou Earthquake observed with GaoFen-3 interferometry

, 2020
The first application of GaoFen-3 synthetic aperture radar (SAR) interferometry to monitoring co-seismic deformation of an earthquake is presented in this paper. First, two GaoFen-3 SAR images spanning the 2017 surface-wave magnitude ((Formula presented.)
Zheng, Yueze, Jia, Qingren, Motagh, Mahdi, Yang, Honglei, Peng, Junhuan, Chen, Xue, Shi, Mengyao   +6 more
core   +1 more source

Internal Geometric Quality Improvement of Optical Remote Sensing Satellite Images with Image Reorientation

Remote Sensing, 2022
When the in-orbit geometric calibration of optical satellite cameras is not performed in a precise or timely manner, optical remote sensing satellite images (ORSSIs) are produced with inaccurate camera parameters.
Jinshan Cao, Nan Zhou, Haixing Shang, Zhiwei Ye, Zhiqi Zhang   +4 more
doaj   +1 more source

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 SATELLITE IMAGING MISSION PLANNING METHOD FOR FAST ANTARCTICA COVERAGE [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020
Global warming has become one of the most prominent global issues, and Antarctic ice sheet is one of the indicator of global climate change. Satellite imagery has become an important means of monitoring the changes in Antarctic ice sheet. Due to the high
Y. Chen, X. Shen, G. Zhang, T. Liu, Z. Lu, J. Xu, H. Wang   +6 more
doaj   +1 more source

Research on the Control Point Extraction Method of Chinese Gaofen 7 Satellite Using Altimeter and Footprint Camera [PDF]

, 2020
Satellite laser altimetry is one of the most advanced information acquisition technologies in Earth observation system. It can provide high-accuracy elevation information, however, due to the lack of detail intensity information, its planimetric accuracy
Yinqiao Cai, Zhijie Zhang, Xiaohua Tong, Binbin Li, Huan Xie   +4 more
core   +2 more sources

Terrestrial Ecosystem Detection Based on Deep Learning Framework and Satellite Image Geographical Information

Geoscience Data Journal, Volume 13, Issue 3, July 2026.
The proposed deep learning framework integrates ResNet‐50 and LSTM models to detect and classify terrestrial ecosystems from satellite imagery. The workflow begins with image preprocessing using bilateral, guided, and median filters to enhance image quality and preserve edges.
Liang Dong, Fan Lei, Dongliang Huang, Yuye Gong, Jide Wei, Wenjing She   +5 more
wiley   +1 more source