Company Filing History:
Years Active: 2023-2024
Title: Innovations of Liangpei Zhang in Hyperspectral Image Classification
Introduction
Liangpei Zhang is a prominent inventor based in Hubei, China. He has made significant contributions to the field of hyperspectral image classification, holding three patents that showcase his innovative methods and techniques.
Latest Patents
One of his latest patents is a "Hyperspectral image classification method based on context-rich networks." This invention involves a comprehensive approach that includes a training stage and a prediction stage. The training stage consists of image pre-processing, sample selection, and network training. The method emphasizes normalization of hyperspectral images and the generation of a label map through selected samples. The prediction stage utilizes the trained network to classify the entire image, ensuring a thorough consideration of data pre-processing and feature extraction.
Another notable patent is the "Method for classifying hyperspectral images on the basis of adaptive multi-scale feature extraction model." This method establishes a framework that includes a scale reference network and a feature extraction network. It introduces a condition gate mechanism to enhance the classification process. By deep mining the rich information contained in hyperspectral remote sensing images, this method effectively combines features of different scales to improve classification results.
Career Highlights
Liangpei Zhang is affiliated with Wuhan University, where he continues to advance research in hyperspectral imaging and related technologies. His work has garnered attention for its innovative approaches and practical applications in various fields.
Collaborations
Liangpei Zhang collaborates with Di Wang, contributing to the development of advanced methodologies in hyperspectral image classification.
Conclusion
Liangpei Zhang's contributions to hyperspectral image classification through his innovative patents highlight his expertise and commitment to advancing technology in this field. His work continues to influence research and applications in image processing and analysis.