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TITLE:On remote sensing image spatial resolution: how to achieve an adaptive solution?
SPEAKER:XiuPing Jia
LOCATION:Science building second floor
TIME:10:00, 11/12/2015

Abstract:

    A camera or a hyperspectral imager is designed with a specified spatial resolution. It is often limited, especially for hyperspectral case, where spectral measurements are the priority. The low spatial resolution leads to a large number of mixed pixels on an image, which generates high uncertainty in hard classification and inaccurate land cover monitoring in remote sensing applications. The study of spatial-resolution improvement via image processing techniques, including superresolution reconstruction and spectral unmixing, has been conducted actively in remote sensing data analysis, which offers an effective means to overcome the hardware limitation. 
    On the other hand, a given resolution, which is low for one application, can be high for another application. The high spatial resolution increases intra class variability and makes object recognition difficult. To address these problems, superpixel based image classification techniques have been developed in recent years. 
    In this talk, the concept of pixel, subpixel and superpixel will be introduced. Subpixel and superpixel based image classification techniques will be overviewed and discussed.
 
Biographies:

    Xiuping Jia (M’93–SM’03) received the B. Eng. degree from the Beijing University of Posts and Telecommunications, Beijing, China, in Jan, 1982 and the Ph.D. degree in electrical engineering from The University of New South Wales, Australia, in 1996. Since 1988, she has been with the School of Information Technology and Electrical Engineering, The University of New South Wales, Canberra, Australia, where she is currently a Senior Lecturer. She is also a Guest Professor with Harbin Engineering University, China, and an Adjunct Researcher at China National Engineering Research Centre for Information Technology in Agriculture. She is the co-author of the remote sensing textbook titled Remote Sensing Digital Image Analysis [Springer-Verlag, 3rd (1999) and 4th (2006) eds.]. Her research interests include remote sensing, imaging spectrometry and spatial data analysis. She is an Editor of the Annals of GIS for Remote Sensing topic and a Subject Editor for the Journal of Soils and Sediments. She is an Associate Editor of the IEEE Transactions on Geoscience and Remote Sensing.
 
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