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University of Augsburg
- Augsburg, Germany
- https://www.linkedin.com/in/nikolina-mileva-75707127
Starred repositories
Rasterio reads and writes geospatial raster datasets
An implementation of chunked, compressed, N-dimensional arrays for Python.
Earth observation processing framework for machine learning in Python
A ready-to-use curated list of Spectral Indices for Remote Sensing applications.
CosmiQ Works Geospatial Machine Learning Analysis Toolkit
AiTLAS implements state-of-the-art AI methods for exploratory and predictive analysis of satellite images.
[CVPR'22] HyperTransformer: A Textural and Spectral Feature Fusion Transformer for Pansharpening
Thin wrapper around elastix - a toolbox for rigid and nonrigid registration of images
✨ A Python package for sparse representations and dictionary learning, including matching pursuit, K-SVD and applications.
Eradiate: a next-generation radiative transfer model for Earth observation applications
Nadir BRDF Adjusted Reflectance (NBAR) for Sentinel-2 in Python
EnMAP-Box source code repository. See https://enmap-box.readthedocs.io for documentation
Hyperspectral Pansharpening: Critical Review, Tools and Future Perspectives
Benchmark for a paper submitted to Information Fusion
Vegetation trait retrieval with remote sensing data in Google Earth Engine and openEO
Python application based on KLT Algorithm for Registration of Images from Observing Systems (KARIOS)
Package for vegetation trait retrievals with ARTMO-based GPR models from hyperspectral images.