SB

The analysis of solar images is important in the understanding of solar physics and the prediction of space weather events, which have significant impact on space-based instruments, communication and navigation systems. With the availability of different space-based multi-wavelength solar observatories such as SOlar and Heliospheric Observatory (SOHO), SOLar Orbiter (SOLO), Solar Dynamics Observatory (SDO), Solar Terrestrial Relations Observatory (STEREO), a large volume of high-resolution solar images are produced continuously. Recently the introduction of India’s first space-based solar observatories will expedite these solar data generation. As a consequence there arises the need for fast and accurate analysis of solar data (images). A few artificial intelligence and machine learning-based techniques are found to be promising for such purposes. However, accuracy, time complexity and the requirement of human intervention are still some of the critical issues with such methods. The presence of a non-discrete solar features boundary, existence of solar-limbs along the boundary of the solar disk also affects the performance of the automated detection techniques. Furthermore, few solar regions like the CHs regions, solar filament channels, and the solar image background are having a similar intensity level, which is a challenging issue for any image segmentation methodologies. To handle this some fuzzy based soft computing techniques and some contour-based approaches have been developed. As the fuzzy-based method has the property to handle the uncertainty and ambiguity associated with the image, and parameterization will force the contour to move towards the desired solar features boundary by eliminating the redundant regions.

Biography:

Dr. Sanmoy Bandyopadhyay currently Senior Project Associate in Aditya-L1 Support Cell Project at Aryabhatta Research Institute of Observational Sciences (ARIES), Nainital, graduated in electronics and communication engineering from Academy of Technology under West Bengal University of Technology (presently Maulana Abul Kalam Azad University of Technology) in 2009. In 2012, he received the M.Tech in the same discipline with a major in telecommunication engineering from National Institute of Technology, Durgapur. Subsequently, he joined as a Research Fellow at the Center for Soft Computing Research, Indian Statistical Institute, Kolkata in 2012 and continued his work until 2018. He completed his Ph.D in 2022 from IIT, Indore in the Discipline of Astronomy, Astrophysics and Space Engineering. From March, 2021 to April, 2021 he served as Senior Project Assistant in the Department of Computer Science and Engineering at IIT, Jodhpur. Later, he again joined the Center for Soft Computing Research, Indian Statistical Institute, Kolkata and served two terms as as an Honorary Visiting Scientist in Laboratory for Cognitive Systems and Cybernetics Research, first from November, 2021 to April, 2022, then for a period of 3 months from July, 2022 to September, 2022. He has authored or co-authored about 23 technical papers in journals, conference and book chapters and received best paper award for presenting paper in a workshop organized by IEEE GRSS Kolkata Chapter. His research interests include antenna array synthesis, fuzzy logic and solar image analysis. He serves as reviewer of several journals and conference proceedings. He is currently a life member of Indian Science Congress Association and Indian Statistical Institute Council.

Email:

Address:Aryabhatta Research Institute of Observational Sciences (ARIES), Manora Peak, Nainital, India, 263001