Hubei, China

Yonghao Xu

This inventor holds 1 USPTO granted patent. Top assignee: Wuhan University. Active years: 2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yonghao Xu. Retrieved from https://idiyas.com/inventor/yonghao-xu-ohythxdk

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Yonghao Xu: Innovator in Hyperspectral Remote Sensing

Introduction

Yonghao Xu is a prominent inventor based in Hubei, China. He has made significant contributions to the field of hyperspectral remote sensing, particularly through his innovative patent. His work focuses on enhancing the accuracy and reliability of image classification methods.

Latest Patents

Yonghao Xu holds a patent for a "Hyperspectral remote sensing image classification method based on self-attention context network." This method constructs a spatial dependency between pixels in a hyperspectral remote sensing image using self-attention learning and context encoding. It effectively learns global context features, providing higher security and reliability against adversarial attacks in hyperspectral remote sensing data. This innovation is crucial for safe, reliable, and high-precision object recognition in Earth observation.

Career Highlights

Yonghao Xu is affiliated with Wuhan University, where he continues to advance research in remote sensing technologies. His work has garnered attention for its practical applications in various fields, including environmental monitoring and resource management.

Collaborations

Yonghao Xu collaborates with Liangpei Zhang, a fellow researcher in the field. Their partnership enhances the research output and innovation in hyperspectral imaging techniques.

Conclusion

Yonghao Xu's contributions to hyperspectral remote sensing through his patented method demonstrate his commitment to advancing technology in this critical area. His work not only improves image classification but also ensures the reliability of data used in Earth observation.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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