Webinar on
Progress in AI Approaches for Processing Spectral
Imaging
Puneet Mishra, Wageningen Food and Biobased Research
10th
April 2025 at 3pm (UK time)
Hyperspectral imaging (HSI) has emerged as a powerful non-destructive sensing
tool for analyzing complex materials in analytical applications. Unlike
remote sensing applications, close-range HSI focuses
on detailed, high-resolution spectral analysis of
objects in controlled environments such
as laboratories, greenhouses, and food processing facilities. The integration
of Artificial Intelligence (AI) and machine
learning (ML) algorithms is revolutionizing the way
hyperspectral data is processed, analyzed, and interpreted.
This presentation explores recent advancements in AI-driven approaches for close-range HSI,
including deep learning, convolutional
neural networks (CNNs), transfer learning, and hybrid AI models.
These techniques enable automated feature extraction,
enhanced spectral-spatial modeling, and real-time decision-making,
significantly improving hyperspectral image processing.
By leveraging AI, close-range hyperspectral imaging is
evolving into an indispensable tool for high-throughput, real-time, and objective
analysis, paving the way for smarter and more sustainable
analytical chemistry.
This
webinar will take no longer than one hour.
Please
register at https://universityofstrathclyde.webex.com/weblink/register/rf2739ff82441f672361d91ba133ab7f2
