Online Summer School on Machine & Deep Learning for Remote Sensing Applications by NIT Surathkal [July 5-16]: | NIT & IEEE Free Certificate
The Department of Engineering and Communication Technology, the National Institute of Technology (NIT), Surathkal is organizing an Online Summer School on Mechanical and In-Depth Learning with Remote Healing Applications from July 5 to 16, 2021.
Suggested summer school offers tutorials on machine use and in-depth reading of remote hearing data. It also highlights many real remote sensing programs and contains moments for participants who may not have a solid background in the course. The purpose of the two-week online summer school is to provide an in-depth understanding of how to use the machine and in-depth learning skills and equip participants with software tools to solve practical problems in the remote hearing field.
NITK Surathkal is a premier institution that participates in the provision of quality technical education and provides support for research and development activities. NITK has been recognized as a national center of importance by an Act of Parliament. NITK has created a niche among India’s leading technology centers. NITK offers 9 UG, 26 PG programs, and Ph.D. programs.
The main objectives of this study are as follows:
- Participants were introduced to the basics of image processing and analysis.
- To build confidence and strength among participants in the use of remote sensing, image processing, and analytics using machine learning and in-depth learning.
- Provide practical problem solving and solutions, with case studies in remote sensing applications.
- Improving participants’ ability to identify new remote sensing systems that include image processing and analysis using machine and in-depth learning.
- Introduction and remote hearing requests
- Remote hearings in Ecology and Forestry applications
- Essentials of image processing ideas for remote hearing
- ANN introduction and mathematical understanding
- Theoretical Features of In-Depth Learning in Geospatial Technology
- SAR Data Analysis Machine Study
- Processing and analysis of Geospatial data via Python and GDAL
- Satellite Data Recovery using Python
- Introduction and mathematical understanding of 2D CNN
- Study of Data Processing Machines in Earth Sciences
Who can attend
- Students at all levels (Ph.D / M.Tech/ MSc / B.Tech (3thYear))
- Faculty members from educational institutions
- Engineers and researchers from Industrial Organizations including R&D laboratories.
- There is no summer school registration fee.
Registration fee: NO
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- Preferences will be provided to the IEEE GRSS, and IEEE members.
- An E-certificate will be issued to participants at least 80% of their arrival
- Registration link: https://forms.gle/ttNTqpgZUUEYCSNa6
• Deadline for subject registration: June 28, 2021
• Notice of selected participants: July 1, 2021
• Pre-summer school meeting with selected participants: July 2, 2021 at 5:30 pm IST
1. Dr. Shyam Lal,
Vice Chair, IEEE GRSS Bangalore Section,
Assistant Professor, Department of Electronics
and Communication Engineering.
National Institute of Technology Karnataka,
Surathkal, Mangaluru-575025 (Karnataka), India
Mob. : +91-9741072082 (WhatsApp)
(For any inquiry, contact the course coordinator)
2. Dr. Aparna P., IEEE GRSS Member
Assistant Professor, Department of Electronics and
For more Information you can watch the video,
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