Satellite_Imagery_Analysis and Hyperspectral_Image_Analysis_Simplified
These are ecosystem siblings—both repositories from the same author implement complementary ML/DL techniques on different types of remote sensing data (multispectral vs. hyperspectral imagery), serving as educational resources for a common domain rather than competing solutions.
Maintenance
0/25
Adoption
10/25
Maturity
16/25
Community
25/25
Maintenance
0/25
Adoption
10/25
Maturity
16/25
Community
22/25
Stars: 268
Forks: 127
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: GPL-3.0
Stars: 245
Forks: 51
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: GPL-3.0
Stale 6m
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No Dependents
Stale 6m
No Package
No Dependents
About Satellite_Imagery_Analysis
syamkakarla98/Satellite_Imagery_Analysis
Implementation of Machine Learning and Deep Learning techniques to find insights from the satellite data.
About Hyperspectral_Image_Analysis_Simplified
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.
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