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changedet¶

A Python toolkit for classical change detection algorithms in remote sensing and geospatial imagery.

Features¶

changedet implements 4 classical change detection algorithms:

Image Differencing (imgdiff) - Simple pixel-wise difference
Change Vector Analysis (cva) - Magnitude and direction of change with Otsu thresholding
Iterated PCA (ipca) - Principal Component Analysis with iterative reweighting
IR-MAD (irmad) - Iteratively Reweighted Multivariate Alteration Detection

All algorithms work with multi-temporal satellite/aerial imagery in GeoTIFF format.

Installation¶

From source¶

git clone https://github.com/ashnair1/changedet
cd changedet
pip install .

For development¶

git clone https://github.com/ashnair1/changedet
cd changedet
poetry install --with dev,docs

Quick Start¶

List available algorithms¶

1	`changedet list`

Run change detection¶

# Basic usage
changedet --algo imgdiff run image1.tif image2.tif

# Change Vector Analysis with Euclidean distance
changedet --algo cva run image1.tif image2.tif --distance euclidean

# IR-MAD with 10 iterations
changedet --algo irmad run image1.tif image2.tif --niter 10

Get help¶

# General help
changedet --help

# Algorithm-specific help
changedet --algo cva algo_obj --help

Documentation¶

Full documentation is available at https://ashnair1.github.io/changedet/

License¶

MIT License - see LICENSE file for details.