NIT Karnataka is Offering Free Course on Machine and Deep Learning for Remote Sensing Applications

Machine and Deep Learning for Remote Sensing applications

National Institute of Technology Karnataka, Surathkal is located in Mangalore City, Karnataka State, India. The Institute was established as Karnataka Regional Engineering College (KREC) in 1960, and upgraded as National Institute of Technology Karnataka (NITK) in 2002. The institute is offering two weeks online summer school on Machine and Deep Learning for Remote Sensing Applications.  The course is jointly organised by IEEE GRSS Bangalore Section, NITK IEEE Student Branch, and Department of Electronics and Communication Engineering and NIT Karnataka Surathkal.

About the Course

The proposed two weeks online summer school presents tutorials for application on Machine and Deep Learning for Remote Sensing applications. It also highlights many real applications of remote sensing and contains sessions for the participants who may not have a strong background in the field. The purpose of the two weeks online summer school is to provide an intensive understanding of how to use the machine and deep learning algorithms and to equip the participants with software tools for solving the practical problems in the remote sensing domain.

Key objectives

The primary objectives of the course are as follows:

  • Introducing participants to the fundamentals of remote sensing image processing and analysis.
  • Building confidence and capability amongst the participants in the application of remote sensing, image processing and analysis using machine and deep learning.
  • Providing exposure to practical problems and their solutions, through case studies in the remote sensing applications.
  • Enhancing the capability of the participants to identify new applications of remote sensing involving image processing and analysis using machine and deep learning.

Course Details

  • Duration: July 05-16, 2021 (10 days/ 2 weeks)
  • Registration Fee: NIL

Who can attend?

  • Students at all levels (Ph.D/M.Tech/MSc/B.Tech(3thYear))
  • Faculty members from academic institutions.
  • Engineers and researchers from Industry organizations including R&D laboratories

Important Note:

  • Preferences will be given to IEEE GRSS, and IEEE members.
  • E-certificate will be issued to those participants whose attendance is minimum 80%

Important Links

  • Last date for registration: June 28, 2021
  • Notification of selected participants: July 1, 2021
  • Pre-summer school meeting with selected participants: July 2, 2021 at 5.30pm IST

Also Read –

Categories: Courses, Remote Sensing

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