FDP on Artificial Intelligence Techniques for Satellite Image Analysis - Matlab & Python Perspective 2024

The Faculty Development Program aims to provide a strong theoretical background in Artificial Intelligence, Data Science, and its applications in the field of Satellite Image Processing. Computer vision is a field of artificial intelligence that works on enabling computers to see, identify, and process images in the same way that human vision does, and then provide the appropriate output. This FDP introduces various AI, ML & DL algorithms and research strategies to be adopted for effective & and efficient processing of Satellite images through computer vision. This FDP allows robust collaborations between AI researchers and health practitioners to discuss socio-technological challenges and come up with state-of-the-art technology directions in the interdisciplinary field of engineering and Space Research. The proposed FDP is designed to offer a unique opportunity for the participants to interact with
prominent experts from the industry, faculty from premier academic institutions, and distinguished practitioners working in the area of AI, DS, and
Image processing. Lectures will be delivered by eminent experts, who have rich technical experience in the respective field of application and hence will provide deeper insight and knowledge to the participants about the advances in the recent field of AI.

COURSE CONTENT
1. Feature Extraction for satellite images using Deep learning.
2. Hyper spectral image Processing and its application using Deep learning.
3. Satellite Image Fusion Techniques.
4. Hyper spectral image Analysis using Deep learning -Matlab & Python.
5. Deep learning using satellite image processing for agricultural applications.
6. Machine Learning for Satellite Image Analysis using Python & QGIS.
7. Role of Deep learning in urban built up area extraction from high resolution satellite images.
8. Feature Extraction of Satellite images using Matlab programming.

Last Date for Registration: 22.11.2024

Rs. 500/-