Results 81 to 90 of about 40,312,078 (138)

Single Remote Sensing Image Super‐Resolution Based on Real‐World Degradation Model and Deep Generative Adversarial Network

IET Image Processing, Volume 20, Issue 1, January/December 2026.
We propose a novel method, termed SRDDSAGAN, which is based on a real‐world degradation model (RWDM) and a deep generative adversarial network (SRDSAGAN). The RWDM integrates blur kernels and imaging noise to simulate real‐world imaging conditions, thereby generating more realistic training and testing datasets. The SRDSAGAN incorporates dense sampling
Zhen Yang, Yin Zhang, Songping Wei, Jiaqi Shen, Shikai Jiang, Yun Su, Yue Yu, Junhua Yan   +7 more
wiley   +1 more source

MINERAL INFORMATION EXTRACTION BASED ON GAOFEN-5’S THERMAL INFRARED DATA [PDF]

, 2018
Gaofen-5 carries six instruments aimed at various land and atmosphere applications, and it’s an important unit of China High-resolution Earth Observation System.
L. Liu, K. Shang
core   +1 more source

Learning to Optimise FISTA‐PnP for Sparse Radar Imaging

IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.
This work presents a plug‐and‐play (PnP) framework for sparse radar imaging that combines FISTA with reinforcement learning (RL)‐based parameter adaptation, achieving faster convergence and eliminating manual parameter tuning. Extensive experiments show the framework outperforms classical methods and recent optimisation networks, providing high‐quality
Yao Zhao, Yuliang Zheng, Kuoye Han, Ye Tian, Bingo Wing–Kuen Ling, Zhe Zhang, Xiaoshuai Pei, Zhihong Zhang   +7 more
wiley   +1 more source

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

Remote 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, Jing Wang, Jingsong Yang, Lin Ren, Jianhua Zhu, Xinzhe Yuan, Chunhua Xie   +6 more
doaj   +1 more source

Lithology classification integrating multi-source remote sensing data after vegetation suppression: a case study from Inner Mongolia Autonomous Region, China

Geocarto International
Reducing vegetation disturbance in remote sensing images enhances lithology classification accuracy. This study utilized Gaofen-2 (GF-2), Sentinel-2A, Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER), and Gaofen-3 (GF-3) satellite ...
Jiaxin Lu, Ling Han, Junfeng Wang, Liangzhi Li, Zhaode Xia   +4 more
doaj   +1 more source

Forest Aboveground Biomass Estimation Using Multisource Remote Sensing Data and Deep Learning Algorithms: A Case Study over Hangzhou Area in China

Remote Sensing
The accurate estimation of forest aboveground biomass is of great significance for forest management and carbon balance monitoring. Remote sensing instruments have been widely applied in forest parameters inversion with wide coverage and high ...
Xin Tian, Jiejie Li, Fanyi Zhang, Haibo Zhang, Mi Jiang   +4 more
doaj   +1 more source

THE FEASIBILITY EVALUATION OF LAND USE CHANGE DETECTION USING GAOFEN-3 DATA [PDF]

, 2018
GaoFen-3 (GF-3) satellite, is the first C band and multi-polarimetric Synthetic Aperture Radar (SAR) satellite in China. In order to explore the feasibility of GF-3 satellite in remote sensing interpretation and land-use remote sensing change detection ...
Z. Zhao, Y. Sun, G. Huang
core   +1 more source

Spatial Estimation of Soil Organic Matter and Total Nitrogen by Fusing Field Vis–NIR Spectroscopy and Multispectral Remote Sensing Data

Remote Sensing
Accurate and timely acquisition of soil information is crucial for precision agriculture, food security, and environmental protection. Proximal visible near-infrared reflectance (vis–NIR) spectroscopy has been widely employed for rapid and accurate soil ...
Dongyun Xu, Songchao Chen, Yin Zhou, Wenjun Ji, Zhou Shi   +4 more
doaj   +1 more source

An Unsupervised Change Detection Method Using Time-Series of PolSAR Images from Radarsat-2 and GaoFen-3

, 2018
The traditional unsupervised change detection methods based on the pixel level can only detect the changes between two different times with same sensor, and the results are easily affected by speckle noise.
Jie Yang, Jinqi Zhao, Hongtao Shi, Le Yang, Wensong Liu   +4 more
core   +1 more source

A Quality Assessment Method Based on Common Distributed Targets for GF-3 Polarimetric SAR Data

, 2018
The GaoFen-3 (GF-3) satellite, launched on 10 August 2016, is the first C-band polarimetric synthetic aperture radar (PolSAR) satellite in China. The PolSAR system of GF-3 can collect a significant wealth of information for geophysical research and ...
Sha Jiang, Xiaolan Qiu, Bing Han, Wenlong Hu   +3 more
core   +1 more source