Expandable Datasets for Earth Observation
-
Updated
Jan 16, 2025 - Jupyter Notebook
#
multi-spectral
Here are 9 public repositories matching this topic...
Minerva project includes the minerva package that aids in the fitting and testing of neural network models. Includes pre and post-processing of land cover data. Designed for use with torchgeo datasets.
python deep-neural-networks deep-learning cnn pytorch remote-sensing neural-networks resnet fcn multi-layer-perceptron torchvision multi-spectral land-cover-classification torchgeo
-
Updated
Jul 14, 2025 - Python
Pigment based painting analysis and editing
palette pigment image-editing rgb painting color-space kubelka-munk mixing-weights multi-spectral decompsoition recoloring
-
Updated
Dec 25, 2018 - Python
Geospatial (Sentinel2 Multi-Spectral) support for fastai
-
Updated
Feb 2, 2023 - Jupyter Notebook
Project made at the IGN research center, for multispectral photogrammetry.
computer-vision pyqt5 gis classification photogrammetry 3d-models 3d-reconstuction micmac multi-spectral 3d-cloud
-
Updated
Feb 21, 2021 - Jupyter Notebook
eCognition algorithm based in multi-spectral luminosity and shape for classifying weeds.
-
Updated
Jun 10, 2021
Visualize multi-spectral satellite imagery and detect clouds using simple spectral rules. Outputs include RGB, NDVI, cloud masks, and cloud-masked imagery across 5 scenes. Built with Python and Google Colab.
python open-source environment geospatial image-processing data-visualization remote-sensing satellite-imagery earth-observation ndvi cloud-masking google-colab multi-spectral rgb-composite
-
Updated
Apr 28, 2025 - Jupyter Notebook
SSFR Software Package
-
Updated
Jul 15, 2025 - Python
eCognition algorithm based in multi-spectral luminosity and shape for classifying weeds.
-
Updated
Jun 26, 2022
Improve this page
Add a description, image, and links to the multi-spectral topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the multi-spectral topic, visit your repo's landing page and select "manage topics."