🔍 Dive deep into the fascinating world of hyperspectral imaging with our latest video! In this tutorial, I'll guide you through a comprehensive breakdown of how to detect anomalies in hyperspectral images using the SRCR and ECEM models. Whether you're a student, a professional in the field of remote sensing, or simply curious about advanced imaging technologies, this video is crafted to enhance your understanding of these complex processes.
What You'll Learn:
Pre-processing Techniques: How to prepare hyperspectral images for analysis.
SRCR Model: An exploration of the Sparse Representation and Collaborative Representation models.
ECEM Model: Detailed insights into the Energy-Constrained Endmember Extraction Model for refining anomaly detection.
Anomaly Detection: Techniques used to identify unusual patterns effectively using a Guided Filter.
Python Implementation: Discover how these models are implemented in Python from start to finish.
Hardware Implementation: A look at how the PNQ Z2 board can be utilized for real-time anomaly detection.
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