Xiaoqing Deng

Title: Innovations of Xiaoqing Deng in Remote Sensing Technology

Introduction

Xiaoqing Deng is a notable inventor based in Changsha, China. He has made significant contributions to the field of remote sensing technology. His work focuses on developing methods for quantitative evaluation in remote sensing inversion, which is crucial for accurate data interpretation.

Latest Patents

Xiaoqing Deng holds a patent for a "Quantitative evaluation method and system for prediction result of remote sensing inversion." This patent addresses the challenges associated with evaluating the accuracy of remote sensing inversion results. The method involves acquiring measured data of a target element content in a designated area and using a remote sensing inversion model to predict the target element content based on remote sensing image reflectivity. The comprehensive index evaluation of the similarity between measured and predicted data is a key aspect of this innovation. This technical solution effectively resolves issues related to the spatial distribution inconsistencies of inverted and measured object content.

Career Highlights

Throughout his career, Xiaoqing Deng has worked with esteemed institutions such as Central South University and Hunan University of Technology and Business. His experience in these academic environments has allowed him to advance his research and contribute to the field of remote sensing.

Collaborations

Xiaoqing Deng has collaborated with notable colleagues, including Gong Cheng and Yuying Ban. Their joint efforts have furthered the development of innovative solutions in remote sensing technology.

Conclusion

Xiaoqing Deng's contributions to remote sensing technology through his patent and collaborations highlight his role as an influential inventor in this field. His work continues to pave the way for advancements in quantitative evaluation methods.