![Associate Professor Xiuping Jia](https://api.research.unsw.edu.au/sites/default/files/images/profile/1317343041_jia_fromcopehegen.png)
Associate Professor Xiuping Jia
I received a B.Eng. degree from the Beijing University of Posts and Telecommunications, Beijing, China, in January 1982. Later I received a Ph.D. degree in electrical engineering and a Graduate Certificate in Higher Education from The University of New South Wales, Australia, in 1996 and 2005, respectively, via part-time study. Since 1988, I have been with the School of Engineering and Information Technology, The University of New South Wales at Canberra, Australia, where she is currently an Associate Professor.
My research areas are remote sensing, hyperspectral image processing, and spatial data analysis for remote sensing applications. The projects I have been involved in and supervised range from image registration, image correction, feature mining and learning, to spectral-spatial based classification. Subpixel mapping has been addressed via spectral unmixing techniques and super resolution reconstruction approaches. I am the author or coauthor of a wide range of publications including journal papers, book chapters, and conference proceedings. I am the coauthor of the remote sensing textbook entitled Remote Sensing Digital Image Analysis [Springer-Verlag, 3rd (1999) and 4th eds. (2006)]. I am the author of the Field Guide to Hyperspectral/Multispectral Image Processing [SPIE, 2022]. My publications are highly cited by the remote sensing community (https://scholar.google.com/citations?user=-vl0ZSEAAAAJ&hl=en).
- Publications
- Media
- Grants
- Awards
- Research Activities
- Engagement
- Teaching and Supervision
- Elevated to an IEEE Fellow in 2021.
- One of the top 250 researchers in Australia listed by Research Magazine, 2021.
- Ranked 126th and 107th in Computer Science & Electronics in Australia by Guide to Research in 2020 and 2021, respectively.
- Received an IEEE award in 2022 for Notable Services and Contributions towards the Advancement of IEEE and the Engineering Professions (2019-2021).
- The following paper I coauthor received IEEE Geoscience and Remote Sensing Society 2020 Highest Impact Paper Award:
- Y. Chen, H. Jiang, C. Li, X. Jia, and P. Ghamisi, “Deep feature extraction and classification of hyperspectral images based on Convolutional Neural Networks,” IEEE Transactions on Geoscience and Remote Sensing, 54(10): 6232 - 6251, 2016.