Liming Zhang

Introduction

Liming Zhang is a prominent inventor located in Lanzhou, China. He holds three patents, focusing primarily on advancements in the fields of geospatial data encryption and classification methods. His innovative contributions reflect a deep understanding of complex systems and a commitment to enhancing data security and analysis.

Latest Patents

Liming Zhang's latest patents include a "Commutative encryption and watermarking method based on chaotic system and zero watermark for vector geospatial data." This method involves scrambles and encrypts vector geospatial data using chaotic sequences from a composite chaotic system. By pairing vector geospatial elements randomly and constructing a feature matrix, a unique zero watermark image is created through the invariant features of the data.

Another notable patent is a "Classification method based on skeleton lines for map building shapes." This classification method expands a library of building templates by integrating architectural classification and real-life building shape features. The method minimizes the influence of small variations in building shapes by employing a least-squares template and utilizes cosine similarity to determine the best-fitting template for classifying building shapes.

Career Highlights

Liming Zhang is associated with Lanzhou Jiaotong University, where he dedicates his expertise to research and development in geospatial technology. His academic environment fosters innovative problem-solving and collaboration, furthering advancements in the field of data security and classification.

Collaborations

Throughout his career, Liming Zhang has collaborated with notable coworkers such as Haowen Yan and Jingzhong Li. These collaborations have allowed for a synergistic approach to research, enhancing the development process of their joint innovations.

Conclusion

Liming Zhang's contributions to the fields of encryption and classification are significant. With three patents to his name, he continues to advance the technology behind geospatial data, ensuring that security and classification techniques are both effective and reliable. His work at Lanzhou Jiaotong University positions him at the forefront of innovative research, with promising implications for the future of data management and security.