معرفی
Associate Professor Xiuping Jia is a faculty member at the School of Engineering and Information Technology, The University of New South Wales at Canberra, Australia. She has been with the institution since 1988, holding the position of Associate Professor with expertise in remote sensing and image processing.
Xiuping Jia earned her B.Eng. degree from the Beijing University of Posts and Telecommunications in January 1982. She later completed her Ph.D. in electrical engineering and a Graduate Certificate in Higher Education from The University of New South Wales, Australia, in 1996 and 2005, respectively, through part-time study.
Her primary research interests focus on remote sensing, hyperspectral image processing, and spatial data analysis for remote sensing applications. Her work spans various aspects of image processing including image registration, image correction, feature mining and learning, and spectral-spatial based classification. She has made significant contributions to subpixel mapping through spectral unmixing techniques and super resolution reconstruction approaches. Professor Jia is the coauthor of the widely recognized textbook Remote Sensing Digital Image Analysis (Springer-Verlag, 3rd and 4th editions) and the author of Field Guide to Hyperspectral/Multispectral Image Processing (SPIE, 2022).
Her recent publication record shows a strong focus on deep learning applications for hyperspectral image analysis, with numerous papers in top journals including IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Neural Networks and Learning Systems, and IEEE Transactions on Pattern Analysis and Machine Intelligence. Her work demonstrates a progression from traditional image processing techniques to cutting-edge deep learning approaches for remote sensing applications.
Professor Jia has made substantial contributions to the field of remote sensing with highly cited publications (as evidenced by her Google Scholar profile). Her research bridges theoretical developments with practical applications in remote sensing data analysis.
She has supervised numerous research projects and students in the areas of remote sensing, hyperspectral image processing, and spatial data analysis. Her work has been supported by various research grants focusing on advanced image processing techniques for remote sensing applications.
Professor Jia's research activities involve collaboration with multiple research teams working on remote sensing applications, hyperspectral data analysis, and geospatial information systems. Her work contributes significantly to the advancement of remote sensing technologies and their practical implementation in various environmental and urban monitoring applications.
