Results 111 to 120 of about 1,035 (137)

M-ReDet: A mamba-based method for remote sensing ship object detection and fine-grained recognition. [PDF]

PLoS One
Liu X, Feng C, Zi S, Qin Z, Guan Q.
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Approximate Observation Weighted ℓ_2/3 SAR Imaging under Compressed Sensing. [PDF]

Sensors (Basel)
Li G, Xin D, Li W, Yang L, Wang D, Zhou Y.   +5 more
europepmc   +1 more source

The AMEE-PPI Method to Extract Typical Outcrop Endmembers from GF-5 Hyperspectral Images. [PDF]

Sensors (Basel)
Hu L, Hu J, Gan S, Yuan X, Lu Y, Zhao H, Han G.   +6 more
europepmc   +1 more source

High-resolution mapping of trees loss and regrowth across Germany and Denmark, 2018-2023

Liu S.
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ScanSAR Radiometric Correction and Analysis of GaoFen-3

2019 6th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR), 2019
GaoFen-3(GF-3) is China's first multi-mode c-band radar imaging satellite launched on August 10, 2016. In order to meet the requirements for global ocean observing and wave detection, three wide swath modes were designed using Scan-beam synthetic aperture radar (ScanSAR) imaging mode, which are narrow scan, wide scan and global observation.
Lihua Zhong, Xiaolan Qiu, Bing Han, Yuxin Hu, Aiping Chen, Chibiao Ding   +5 more
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Preliminary Coherence Assessment of Gaofen-3 SAR Data

IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Gaofen-3 (GF-3) is the only in-orbit civilian SAR satellite of China. The satellite is specially designed for ocean observation. The coherence is not exclusively considered during satellite designing phase. In this paper, we conduct the preliminary coherence assessment of GF-3 SAR data. Decoherence sources of GF-3 consists of seven components. Baseline
Tao Li, Xinming Tang, Qianfu Chen, Xiaoming Gao, Xiang Zhang, Li Guo   +5 more
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Land Cover Semantic Segmentation of High-Resolution Gaofen-3 SAR Image

2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021
Land cover classification with SAR images mainly focuses on the utilization of fully polarimetric SAR (PolSAR) images. This paper explores the potential of semantic segmentation of high-resolution single polarimetric (single-pol) SAR and PolSAR images, in particular tailored for the Gaofen-3 (GF-3) sensor. First of all, a unified SAR data preprocessing
Xianzheng Shi, Feng Xu
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Gaofen-3 sea ice detection based on deep learning

2017 Progress in Electromagnetics Research Symposium - Fall (PIERS - FALL), 2017
Sea ice detection is one of the most important applications in synthetic aperture radar (SAR) image processing and it always be served for ship navigation and climate change studies. Due to the noise, low resolution and multiple characteristics of SAR images, and limitations of traditional SAR image classification methods, the detection accuracy of ...
Jinxin Li, Chao Wang, Shigang Wang, Hong Zhang, Qiaoyan Fu, Yuanyuan Wang   +5 more
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Reliability Design for Gaofen-3 Satellite Phased Array Antenna

2019 International Conference on Microwave and Millimeter Wave Technology (ICMMT), 2019
The Gaofen-3 satellite is a polarimetric SAR working in C band with high SAR imaging resolution. Moreover, it is also the first C band remote sensing satellite designed up to 8 years life. The active phased antenna of the SAR is capable of scanning in two principal planes. The antenna array is composed of four panels and 24 modules totally.
Guo Qing, Zhao Xuhao, Ren Bo, Li Shuliang, Zhang Jinping   +4 more
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