Chemometric-approaches-to-hyperspectral-processing

Opening notebooks in Google Colab

Notebook	Description	Open in Colab
`loading_data.ipynb`	Image loading, Spectral Extraction, Spectral Pre-processing, Outliers Removal
`spectral_analysis.ipynb`	Chemometric Exploratory & Predictive Modelling
`chemical_map_generation.ipynb`	Chemical maps generation
`variable_selection.ipynb`	Variable selection
`robust_analysis.ipynb`	Robust modelling
`data_fusion.ipynb`	Fusion of Information from Different Sensors
`model_transfer.ipynb`	Model Transfer Between Sensors
`model_maintenance.ipynb`	Model Maintenance and Correction Strategies
`using_pretrained_ai_models.ipynb`	Using various pre-trained AI models

Python version: 3.11.13
To install required packages run 'pip install -r requirements.local.txt' and 'conda install opencv'

Name		Name	Last commit message	Last commit date
Latest commit History 70 Commits
geostats		geostats
helperfunctions		helperfunctions
.gitignore		.gitignore
README.md		README.md
chemical_map_generation.ipynb		chemical_map_generation.ipynb
data_fusion.ipynb		data_fusion.ipynb
loading_data.ipynb		loading_data.ipynb
model_maintenance.ipynb		model_maintenance.ipynb
model_transfer.ipynb		model_transfer.ipynb
requirements.local.txt		requirements.local.txt
requirements.txt		requirements.txt
robust_analysis.ipynb		robust_analysis.ipynb
spectral_analysis.ipynb		spectral_analysis.ipynb
using_pretrained_ai_models.ipynb		using_pretrained_ai_models.ipynb
variable_selection.ipynb		variable_selection.ipynb