Results 71 to 80 of about 1,017 (151)
Machine Learning-Based Wind Direction Retrieval From Quad-Polarized Gaofen-3 SAR Images
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 +1 more source
Target detection is one of the important applications in the field of remote sensing. The Gaofen-3 (GF-3) Synthetic Aperture Radar (SAR) satellite launched by China is a powerful tool for maritime monitoring. This work aims at detecting ships in GF-3 SAR
Quanzhi An, Zongxu Pan, Hongjian You
doaj +1 more source
Multi-feature combined cloud and cloud shadow detection in GaoFen-1 wide field of view imagery
The wide field of view (WFV) imaging system onboard the Chinese GaoFen-1 (GF-1) optical satellite has a 16-m resolution and four-day revisit cycle for large-scale Earth observation.
Gamba, Paolo +5 more
core +1 more source
Ship target detection in SAR images based on SimAM attention YOLOv8
1. Mitigated the uniform treatment disparity across all regions of images processed by the YOLOv8 model, and validated the effectiveness of our method through experiments. 2. The combination of a simple, parameter‐free attention module (SimAM) attention mechanism with the YOLOv8 visual model for synthetic aperture radar ship target detection ...
Yuqiao Xu +4 more
wiley +1 more source
Identifying Linear Traces of the Han Dynasty Great Wall in Dunhuang Using Gaofen-1 Satellite Remote Sensing Imagery and the Hough Transform [PDF]
The Han Dynasty Great Wall (GH), one of the largest and most significant ancient defense projects in the whole of northern China, has been studied increasingly not only because it provides important information about the diplomatic and military ...
Bachagha, N. +7 more
core +1 more source
MW‐SAM:Mangrove wetland remote sensing image segmentation network based on segment anything model
Mangrove wetland remote sensing image segmentation network based on segment anything model is based on the pre‐trained segment anything model and achieves cross‐domain adaptation through parameter‐efficient fine‐tuning techniques. It introduces wetland‐specific prompts, auxiliary branches, semi‐supervised training, and iterative optimization strategies
Yu Zhang, Xin Wang, Jingye Cai, Qun Yang
wiley +1 more source
Gaofen-3 PolSAR Image Classification via XGBoost and Polarimetric Spatial Information
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 +1 more source
In this paper, we employed harmonic regression analysis to fit time series data of vegetation indices based on Landsat 7/8 images and achieved the mapping of Spartina alterniflora in coastal zone of Guangxi from 2009 to 2020 by combining the extracted phenological features with random forest model.
Huanmei Yao +5 more
wiley +1 more source
A Joint Suppression Method of Scalloping and Inter-Scan Banding for SAR Images
Due to a wide swath at the order of hundreds of kilometres, interscan banding (ISB) may occur in both ScanSAR and TOPS modes of a synthetic aperture radar (SAR), leading to degraded image quality. In this aticle, the causes of ISB are analyzed and an ISB
Xinwei An +7 more
doaj +1 more source
The GaoFen-3 (GF-3) satellite is the only synthetic aperture radar (SAR) satellite in the High-Resolution Earth Observation System Project, which is the first C-band full-polarization SAR satellite in China.
Niangang Jiao +4 more
doaj +1 more source

