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...
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...
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...
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...
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 ...
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,...
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...
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...
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...
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...