Company Filing History:
Years Active: 2023
Title: Innovations of Jiaqi Yang in Hyperspectral Image Classification
Introduction
Jiaqi Yang is an accomplished inventor based in Hubei, China. He has made significant contributions to the field of hyperspectral image classification. His innovative methods are paving the way for advancements in remote sensing technology.
Latest Patents
Jiaqi Yang holds a patent titled "Method for classifying hyperspectral images on basis of adaptive multi-scale feature extraction model." This patent discloses a method that establishes a framework comprising a scale reference network and a feature extraction network. The method introduces a condition gate mechanism into the scale reference network and performs determination step-by-step using three groups of modules. It inputs features into a corresponding scale extraction network, deep mining the rich information contained in hyperspectral remote sensing images. This approach effectively combines features of different scales, improving classification effects and generating fine classification result maps.
Career Highlights
Jiaqi Yang is affiliated with Wuhan University, where he continues to engage in research and development in his field. His work has garnered attention for its innovative approach to image classification.
Collaborations
Jiaqi Yang collaborates with Liangpei Zhang, a fellow researcher who contributes to the advancements in their shared field of study.
Conclusion
Jiaqi Yang's contributions to hyperspectral image classification demonstrate his innovative spirit and commitment to advancing technology. His work is essential for the future of remote sensing applications.