AnkurDeria/HSI-Traditional-to-Deep-Models
Pytorch and Keras Implementations of Hyperspectral Image Classification -- Traditional to Deep Models: A Survey for Future Prospects.
This tool helps researchers and practitioners classify objects or materials within hyperspectral images by providing various machine learning models. You input hyperspectral imagery (like satellite or aerial scans), and it outputs categorized pixel data, identifying different land covers, minerals, or other features. It's designed for remote sensing scientists, environmental analysts, and geological surveyors who work with rich spectral data.
163 stars. No commits in the last 6 months.
Use this if you need to experiment with and apply different traditional and deep learning algorithms for classifying regions within hyperspectral images.
Not ideal if you are looking for a simple, out-of-the-box solution without needing to engage with underlying machine learning models or code.
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Oct 04, 2022
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