SAR_IMAGE

作品数:69被引量:169H指数:7
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相关作者:王德石郝威杨露菁袁信更多>>
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Research on SAR Image Lightweight Detection Based on Improved YOLOV8
《印刷与数字媒体技术研究》2025年第1期93-100,共8页WANG Qing SI Zhan-jun 
In recent years,with the development of synthetic aperture radar(SAR)technology and the widespread application of deep learning,lightweight detection of SAR images has emerged as a research direction.The ultimate goal...
关键词:YOLOv8 Synthetic aperture radar image LIGHTWEIGHT Target detection 
Improved Small Target Detection Method for SAR Image Based on YOLOv7
《印刷与数字媒体技术研究》2024年第5期53-62,共10页YANG Ke SI Zhan-jun ZHANG Ying-xue SHI Jin-yu 
In order to solve the problems that the current synthetic aperture radar(SAR)image target detection method cannot adapt to targets of different sizes,and the complex image background leads to low detection accuracy,an...
关键词:Small target detection Synthetic aperture radar YOLOv7 DyHead module Switchable Around Convolution 
Mangrove monitoring and extraction based on multi-source remote sensing data:a deep learning method based on SAR and optical image fusion
《Acta Oceanologica Sinica》2024年第9期110-121,共12页Yiheng Xie Xiaoping Rui Yarong Zou Heng Tang Ninglei Ouyang 
The Key R&D Project of Hainan Province under contract No.ZDYF2023SHFZ097;the National Natural Science Foundation of China under contract No.42376180。
Mangroves are indispensable to coastlines,maintaining biodiversity,and mitigating climate change.Therefore,improving the accuracy of mangrove information identification is crucial for their ecological protection.Aimin...
关键词:image fusion SAR image optical image MANGROVE deep learning attention mechanism 
Novel method for extraction of ship target with overlaps in SAR image via EM algorithm
《Journal of Systems Engineering and Electronics》2024年第4期874-887,共14页CAO Rui WANG Yong 
This work was supported by the National Science Fund for Distinguished Young Scholars(62325104).
The quality of synthetic aperture radar(SAR)image degrades in the case of multiple imaging projection planes(IPPs)and multiple overlapping ship targets,and then the performance of target classification and recognition...
关键词:expectation maximization(EM)algorithm image processing imaging projection plane(IPP) overlapping ship tar-get synthetic aperture radar(SAR) 
SSE-Ship: A SAR Image Ship Detection Model with Expanded Detection Field of View and Enhanced Effective Feature Information
《Open Journal of Applied Sciences》2023年第4期562-578,共17页Liping Zheng Liang Tan Liangjun Zhao Feng Ning Bo Xiao Yang Ye 
In this paper, we propose a SAR image ship detection model SSE-Ship that combines image context to extend the detection field of view domain and effectively enhance feature extraction information. This method aims to ...
关键词:Ship Detection SSE-Ship STCSPB SE Attention 
Investigating the seasonal dynamics of surface water over the Qinghai-Tibet Plateau using Sentinel-1 imagery and a novel gated multiscale ConvNet
《International Journal of Digital Earth》2023年第1期1372-1394,共23页Xin Luo Zhongwen Hu Lin Liu 
supported by the National Natural Science Foundation of China(Proj No.42001351)..
The surface water in the Qinghai–Tibet Plateau(QTP)region has undergone dramatic changes in recent decades.To capture dynamic surface water information,many satellite imagery-based methods have been proposed.However,...
关键词:Qinghai–Tibet Plateau surface water mapping deep learning convolutional neural network SAR image 
OGSRN:Optical-guided super-resolution network for SAR image被引量:1
《Chinese Journal of Aeronautics》2022年第5期204-219,共16页Yanshan LI Li ZHOU Fan XU Shifu CHEN 
supported by the National Natural Science Foundation of China(Nos.61771319,62076165 and 61871154);the Natural Science Foundation of Guangdong Province,China(No.2019A1515011307);Shenzhen Science and Technology Project,China(Nos.JCYJ20180507182259896 and 20200826154022001);the other project(Nos.2020KCXTD004 and WDZC20195500201)。
Although Convolutional Neural Networks(CNNs)have significantly improved the development of image Super-Resolution(SR)technology in recent years,the existing SR methods for SAR image with large scale factors have rarel...
关键词:SAR image SUPER-RESOLUTION Optical image Attention mechanisms Convolutional Nerual Networks(CNNs) 
De-Speckling of SAR Images with Fuzzy Filters along with Altered Preserved Edge Values
《Journal of Computer and Communications》2022年第3期10-28,共19页Md. Mynoddin Mohd. Foyzul Kabir Nazrul Islam Rezaul Karim Hasin Rehana Sayed Asaduzzaman 
In this research, the denoising of speckled SAR image has been done with fuzzy filters (ATMED, TMED, ATMAV & TMAV). SAR image or Synthetic Aperture Radar image consists of the informatics of ISW (Internal solitary wav...
关键词:SAR Image Image Processing Fuzzy Logic Speckle Noise Noise Reduction 
Fusion of SAR and Optical Image for Sea Ice Extraction被引量:1
《Journal of Ocean University of China》2021年第6期1440-1450,共11页LI Wanwu LIU Lin ZHANG Jixian 
the Natural Science Foun-dation of Shandong Province(No.ZR2019MD034)。
It is difficult to balance local details and global distribution using a single source image in marine target detection of a large scene.To solve this problem,a technique based on the fusion of optical image and synth...
关键词:sea ice detection image fusion SAR image optical image Poisson Equation 
A Bridge Neural Network-Based Optical-SAR Image Joint Intelligent Interpretation Framework
《Space(Science & Technology)》2021年第1期97-106,共10页Meiyu Huang Yao Xu Lixin Qian Weili Shi Yaqin Zhang Wei Bao Nan Wang Xuejiao Liu Xueshuang Xiang 
This is supported by the Beijing Nova Program of Science and Technology under Grant Z191100001119129;the National Natural Science Foundation of China 61702520.
The current interpretation technology of remote sensing images is mainly focused on single-modal data,which cannot fully utilize the complementary and correlated information of multimodal data with heterogeneous chara...
关键词:MODAL utilize MATCHING 
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