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地理卓越學術講座系列
Geography Distinguished Seminars Series
Classical and AI-supported Remote Sensing Image Processing for Information Enhancement and Extraction
Date: 18 DEC 2024 (Wednesday)
Time: 10:00-11:30 (HKT)
Venue: CLL, Department of Geography, 10F, The Jockey Club Tower, Centennial Campus, HKU
Registration link: https://hkuems1.hku.hk/hkuems/ec_hdetail.aspx?guest=Y&ueid=97843
Abstract:
This talk will first introduce some of the past successes of Professor Zhang’s research lab in remote sensing image processing, including the contributions to Google Maps. The talk will then introduce four recent research results: (1) hyperspectral remote sensing for spruce budworm defoliation detection, (2) Sendinel-2 multispectral image for forest canopy height estimation, (3) super-resolution of Sentinel-2 multiresolution multispectral images, and (4) ultra-spatial-resolution hyperspectral imaging.
Professor Yun Zhang
Professor, FCAE, PEng, Department of Geodesy and Geomatics Engineering, University of New Brunswick, Fredericton, NB, Canada
Professor Yun Zhang is a Fellow of the Canadian Academy of Engineering (FCAE), Canada Research Chair in Advanced Geomatics Image Processing (2008-2018), Professor in Remote Sensing at the University of New Brunswick, and a Visiting Professor of the Massachusetts Institute of Technology (MIT) (2015). The research outcomes from his lab have resulted in more than 20 technology licenses. Users of the technologies include NASA, Google, Natural Resources Canada, DigitalGlobe, and many others.
Professor Zhang received many national and international research awards, including the Synergy Award for Innovation of the Natural Science and Engineering Research Council of Canada (NSERC). The breakthroughs from his research lab were featured by the NSERC and the CFI (the Canada Foundation for Innovation) for multiple times. One of his research results was selected by the Association of University Technology Managers (an international association with more than 3,500 intellectual property managers and business executives from 50 countries) as one of top 100 university developed technologies, among those developed by MIT, Stanford, Yale, Columbia, Brown, and other international top universities.
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