Junzheng Jiang

Title: Innovations of Junzheng Jiang

Introduction

Junzheng Jiang is a notable inventor based in Guilin, China. He has made significant contributions to the field of image processing and radar technology. With a total of 4 patents to his name, Jiang's work focuses on advanced methods for noise suppression and image restoration.

Latest Patents

One of Jiang's latest patents is a "Hyperspectral image distributed restoration method and system based on graph signal processing and superpixel segmentation." This innovative method provides a novel mixed-noise removal technique for hyperspectral images (HSI) of large sizes. The underlying structure of the HSI is modeled using a two-layer architecture graph. The upper layer, known as the skeleton graph, is constructed using a modified k-nearest-neighborhood algorithm. Its nodes correspond to superpixels formed by HSI segmentation, efficiently characterizing inter-correlations while preserving boundary information and reducing computational complexity. The lower layer, called the detailed graph, consists of local graphs that model pixel similarities. The HSI restoration problem is formulated as a series of optimization problems on subgraphs, and a novel distributed algorithm is tailored for the restoration process, utilizing information interaction between the nodes of the skeleton graph and subgraphs.

Another significant patent is the "Noise suppression method and system for inverse synthetic aperture radar micro-cluster objects using generative adversarial network." This method involves constructing a generative adversarial network (GAN) that includes a generator and a discriminator. The process begins with obtaining noisy simulation data, which is input into the generator to produce a first output. This output is then compared with noiseless simulation data to determine the generator loss. The measured data is also input into the generator to obtain a second output, which is further processed to refine the noise suppression results.

Career Highlights

Jiang has worked at several prestigious institutions, including the University of Electronic Science and Technology of China, Hangzhou Institute of Technology, and Xidian University. His experience in these organizations has contributed to his expertise in image processing and radar technologies.

Collaborations

Throughout his career, Jiang has collaborated with notable colleagues such as Jiang Qian and Haitao Lyu. These collaborations have further enhanced his research and development efforts in his field.

Conclusion

Junzheng Jiang's innovative work in image processing and radar technology has led to significant advancements in noise suppression