Xiaojun Shan

Title: Innovations of Xiaojun Shan in Remote Sensing Technology

Introduction

Xiaojun Shan is a prominent inventor based in Beijing, China. He has made significant contributions to the field of remote sensing technology, particularly in image processing and geometric normalization methods. With a total of 2 patents, his work has advanced the capabilities of satellite imagery analysis.

Latest Patents

Xiaojun Shan's latest patents include a "Remote Sensing Image Geometric Normalization Method and Apparatus." This innovative method involves constructing a pyramid tile structure for a reference image, calculating the level of tiles to be downloaded, and performing geometric corrections to achieve accurate image processing results. Another notable patent is the "Method and Apparatus for Patching Cloud Area of Satellite Image Sequencing." This method identifies and expands cloud areas in multispectral images, allowing for effective patching of cloud-affected regions using advanced techniques like Poisson fusion.

Career Highlights

Xiaojun Shan is affiliated with the Chinese Academy of Sciences, where he conducts research and development in remote sensing technologies. His work has been instrumental in enhancing the accuracy and reliability of satellite imagery, which is crucial for various applications, including environmental monitoring and urban planning.

Collaborations

Xiaojun has collaborated with notable colleagues such as Changmiao Hu and Ping Tang, contributing to the advancement of their shared research goals in remote sensing.

Conclusion

Xiaojun Shan's innovative patents and contributions to remote sensing technology highlight his expertise and commitment to advancing this critical field. His work continues to influence the way satellite imagery is processed and utilized across various industries.