Company Filing History:
5 out of 50 
1 out of 1 Years Active: 2023-2025
Title: Jie Chen - Innovator in Synthetic Aperture Radar Technology
Introduction
Jie Chen is a prominent inventor based in Hefei, China, known for his contributions to the field of target detection using synthetic aperture radar (SAR) technology. With a total of 5 patents, he has made significant advancements in the methods and apparatuses used for detecting targets in SAR images.
Latest Patents
Jie Chen's latest patents include a contextual visual-based SAR target detection method and apparatus, along with a storage medium. This innovative method involves obtaining an SAR image and inputting it into a target detection model. The model positions and recognizes targets within the SAR image, yielding a detection result. The approach enhances a two-way multi-scale connection operation through top-down and bottom-up attention, which guides the learning of dynamic attention matrices. This enhancement improves feature interaction across different resolutions, allowing for more accurate extraction of multi-scale target feature information. The model effectively suppresses background interference, thereby enhancing visual expressiveness. Additionally, his synthetic aperture radar image target detection method utilizes the anchor-free target detection algorithm YOLOX as a framework, reconstructing the backbone feature extraction network from a lightweight perspective.
Career Highlights
Jie Chen has worked at notable institutions such as Anhui University and Anhui Zhongke Xinglian Information Technology Co., Ltd. His work has focused on improving the accuracy and efficiency of SAR target detection methods, contributing to advancements in the field.
Collaborations
Some of his notable coworkers include Zihan Cheng and Zhixiang Huang, who have collaborated with him on various projects related to SAR technology.
Conclusion
Jie Chen's innovative work in synthetic aperture radar technology has significantly impacted the field of target detection. His patents reflect a commitment to enhancing detection methods, making him a key figure in this area of research.
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