nickyspatial 1.0.0

An open-source object-based image analysis library for remote sensing.

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

pip install nickyspatial

Quick Start

import nickyspatial as ns
 TODO : add sample computation here

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!

  

Contributors