NickySpatial¶
An open-source object-based image analysis library for remote sensing.
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[!WARNING] This project is under active development and lot of its functionality is still in my head yet to code.
Find Demo Frontend Here : https://nickyspatial-gpoqz.ondigitalocean.app/
Description¶
NickySpatial is a Python package that provides object-based image analysis (OBIA) functionality similar to commercial software like eCognition. It allows users to segment geospatial imagery into meaningful objects, calculate statistics, and apply rule-based classification.
Project Structure¶
nickyspatial/
├── __init__.py
├── io/
│ ├── __init__.py
│ ├── raster.py # Raster I/O
│ └── vector.py # Vector I/O
├── core/
│ ├── __init__.py
│ ├── layer.py # Layer class and management
│ ├── segmentation.py # Segmentation algorithms
│ └── rules.py # Rule engine
| └── classifier.py # Classification algorithms
├── stats/
│ ├── __init__.py
│ ├── basic.py # Basic statistics (min, max, mean, etc.)
│ ├── spatial.py # Spatial statistics (area, perimeter, etc.)
│ └── spectral.py # Spectral indices (NDVI, etc.)
├── filters/
│ ├── __init__.py
│ ├── spatial.py # Spatial filters (smoothing, merging)
│ └── spectral.py # Spectral filters (band math)
├── viz/
│ ├── __init__.py
│ ├── maps.py # Map visualization
│ └── charts.py # Statistical charts
└── utils/
├── __init__.py
└── helpers.py # Helper functions
Installation¶
Quick Start¶
Documentation¶
For detailed documentation and examples, see the documentation website. Deepwiki also provides documentation quite detailed , Do check it out if you like
Examples¶
Check out the 'examples' directory for more examples:
TODO : Add example scripts here
Contributing¶
Contributions are welcome! Follow dev setup guide & Please feel free to submit a Pull Request.
Acknowledgments¶
- Inspired by the functionality of eCognition and other OBIA methodologies
- Built on top of powerful open-source libraries like numpy, rasterio, scikit-image, and GeoPandas
- Nicky : Nicky is my belated dog and I named this package in his memory!