Zhaoyang Hou

Title: Zhaoyang Hou: Innovator in Remote Sensing Image Security

Introduction

Zhaoyang Hou is a notable inventor based in Lanzhou, China. He has made significant contributions to the field of remote sensing image security, particularly in cloud environments. His innovative approach combines advanced technologies to enhance the security and retrieval of remote sensing images.

Latest Patents

Zhaoyang Hou holds a patent for a "Remote sensing image security retrieval method and system in cloud environment." This patent discloses a method 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 search results is verified by constructing a Merkle tree.

Career Highlights

Zhaoyang Hou 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. Their collaboration has likely fostered innovative ideas and advancements in their respective fields.

Conclusion

Zhaoyang Hou's contributions to remote sensing image security highlight his innovative spirit and dedication to advancing technology. His work not only enhances security measures but also paves the way for future developments in the field.