syamkakarla98/Hyperspectral_Image_Analysis_Simplified
The repository contains the implementation of different machine learning techniques such as classification and clustering on Hyperspectral and Satellite Imagery.
This project helps scientists, geologists, and environmental analysts categorize different materials or land covers from aerial or satellite images. It takes raw hyperspectral or satellite imagery as input and helps you classify specific regions or pixels within the images, outputting maps and reports that show the different identified categories. It's for anyone who needs to interpret complex spectral data for land use, mineral mapping, or environmental monitoring.
245 stars. No commits in the last 6 months.
Use this if you need to analyze hyperspectral or satellite imagery to identify and classify distinct features or materials within the images.
Not ideal if you are looking for a general-purpose image processing tool for standard RGB images or simple object detection tasks.
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245
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Jupyter Notebook
License
GPL-3.0
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Last pushed
Jul 06, 2023
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