Spatial Data Seminar

#remote #sensing; #image #processing; #super-resolution; #cloud #removal
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Title: Cloud removal and super-resolution for satellite image enhancement

Speaker: Dr. Meng Xu, Assistant Professor, Shenzhen University, Shenzhen, China

Time: 4:30 – 5:30 pm Wednesday, 14th Feb., 2024

 

Hybrid event with both in-person and online attendees

 

Location: Stringybark Room, Ground Floor, Synergy Building, CSIRO Black Mountain Science and Innovation Park, Canberra, Australia

Teams Meeting ID: 417 176 660 204   Passcode: dNJJSo



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  • Ground Floor
  • CSIRO Black Mountain Science and Innovation Park
  • Canberra, Australian Capital Territory
  • Australia
  • Building: Synergy Building
  • Room Number: Stringybark Room

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Meng

Topic:

Cloud removal and super-resolution for satellite image enhancement

Title: Cloud removal and super-resolution for satellite image enhancement   

 

Abstract: Cloud interference frequently affects the quality of optical remote sensing images, posing a significant challenge to data integrity. Additionally, achieving high spatial and spectral resolution in remote sensing images proves challenging due to limitations in optical sensor hardware, which struggles to simultaneously achieve both resolutions. In light of these challenges, this presentation introduces a series of novel deep learning-based techniques tailored for satellite image enhancement. The primary focus is on addressing the issue of information loss in remote sensing imagery caused by cloud interference and resolution limitations. The proposed methods harness the power of artificial intelligence to improve image quality and the potential for uncovering hidden details in satellite imagery. As a result, these methods provide a more robust solution for extracting precise and reliable data and have broad implications for various remote sensing applications, ranging from environmental monitoring to agricultural management and disaster response.

About the speaker: Meng Xu received the B.S. and M.E. degrees in Electrical Engineering from the Ocean University of China, Qingdao, China, in 2011 and 2013, respectively, and the Ph.D. degree from the University of New South Wales, Canberra, Australia, in 2017. She is currently an Assistant Professor with the College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China. She has published more than 30 peer-reviewed research papers in Remote Sensing of Environment, ISPRS Journal of Photogrammetry and Remote Sensing, and IEEE Transactions on Remote Sensing Geoscience and Remote Sensing. She received the Young Scientists and General Program of NSFC grants and was awarded the Second Prize of Guangdong Natural Science Award and Shenzhen Natural Science Award. Her research interests include cloud removal and remote sensing image processing.

Address:Australia