Ting Yang

Title: Innovations of Inventor Ting Yang

Introduction

Ting Yang is a notable inventor based in Lanzhou, China. He has made significant contributions to the field of remote sensing technology. His innovative work focuses on enhancing the security and retrieval of remote sensing images in cloud environments.

Latest Patents

Ting Yang holds a patent for a "Remote sensing image security retrieval method and system in cloud environment." This patent discloses a method and system that utilizes a Convolutional Neural Network (CNN) model to extract features from remote sensing images. The process involves dimension reduction through spectral hashing with spectral rotation, followed by clustering using K-means++. A secure encryption searchable index is generated from the correction tuple of Asymmetric Scalar-Product-Preserving Encryption (ASPE). Additionally, image encryption is performed after creating a watermark embedding space through prediction error marking and pixel rearrangement. The method also allows for the flexible embedding and extraction of copyright and user information for authentication and data tracking. The authenticity of the search results is verified by constructing a Merkle tree.

Career Highlights

Ting Yang has worked at Lanzhou Jiaotong University and Gansu Dayu Jiuzhou Space Information Technology Co., Ltd. His experience in these institutions has contributed to his expertise in remote sensing and image security technologies.

Collaborations

Some of his notable coworkers include Haowen Yan and Liming Zhang, who have collaborated with him on various projects.

Conclusion

Ting Yang's innovative contributions to remote sensing image security retrieval methods highlight his expertise and dedication to advancing technology in this field. His work continues to influence the development of secure image retrieval systems in cloud environments.