spectralmatch 0.0.1

Global and local spectral matching of 2 or more overlapping rasters

spectralmatch: Global and Local Spectral Matching for Seamless Image Mosaics

[!IMPORTANT] This library is experimental and still under heavy development.

Perform global and local histogram matching for multiple overlapping images to achieve seamless color consistency in mosaicked outputs.

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Overview

spectralmatch uses least squares regression to balance colors across all images in a single global solution, then performs finer local adjustments on overlapping blocks. This two-phase process ensures high-quality color normalization with minimal spectral distortion.

Why Use spectralmatch?

• Fully automated color balancing of multiple overlapping images.
• Minimizes color bias by avoiding a strict reference image.
• Improves consistency with local, block-by-block refinements after global correction.
• Easily integrated into new or existing remote sensing and GIS workflows.

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Features

• Global Spectral Matching
  Calculates scale and offset across all images to reduce large color differences.

• Local Spectral Matching
  Refines global corrections by applying fine-tuned color transformations in overlapping areas.

• Sensor Agnostic
  Works on optical imagery from diverse sensors by assuming geometric alignment.

• Parallel Processing
  Capable of handling large datasets efficiently on modern CPU cores.

• Minimal Spectral Distortion
  Maintains the integrity of real color/spectral information in your data.

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Installation

1. System Requirements

Before installing spectralmatch, ensure you have the following system-level prerequisites:

• Python ≥ 3.10
• PROJ ≥ 9.3
• GDAL ≥ 3.6 (verify using: gdalinfo --version)

2. Install spectralmatch (via PyPI or Source)

The recommended way to install spectralmatch is via PyPI:

pip install spectralmatch

spectralmatch includes a pyproject.toml which defines its Python dependencies. Installing via pip will automatically handle these. If you need to install from source, clone the repository and run:

pip install .

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Quick Start

After installation, you can use spectralmatch to perform global and local matching on multiple overlapping images:

from spectralmatch.global_histogram_match import global_histogram_match
from spectralmatch.local_histogram_match import local_histogram_match

# Example: Basic usage

input_image_paths = [
    "image1.tif",
    "image2.tif",
    "image3.tif"
]

# 1. Global Matching
global_histogram_match(
    input_images=input_image_paths,
    output_folder="data/GlobalMatch",
    output_basename="_global",
    custom_mean_factor=3,   # adjust as needed
    custom_std_factor=1     # adjust as needed
)

# 2. Local Matching
local_histogram_match(
    input_images=[
        "data/GlobalMatch/images/image1_global.tif",
        "data/GlobalMatch/images/image2_global.tif",
        "data/GlobalMatch/images/image3_global.tif"
    ],
    output_folder="data/LocalMatch",
    output_basename="_local",
    target_blocks_per_image=100,
    projection="EPSG:XXXX", # specify your projection
    debug_mode=True         # optional debugging
)

print("Done! Check 'data/GlobalMatch' and 'data/LocalMatch' for results.")

Replace mentions of file paths, projection, and parameters as suitable for your data and environment.

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Documentation

Comprehensive documentation is forthcoming. In the meantime:

• Refer to function docstrings for usage and parameter details.
• Explore example scripts or tutorials within this repository for guidance.
• Open an issue or discussion if you need further information.

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Developer Guides

1. Clone the Repository

   git clone https://github.com/yourusername/spectralmatch.git
   

   Then navigate into the project folder:

   cd spectralmatch
   

2. Install in Editable Mode with Dev Extras
   spectralmatch provides a [dev] extra in its pyproject.toml for development:

   pip install --upgrade pip
   pip install -e .[dev]   # for developer dependencies
   pip install -e .[docs]  # for documentation dependencies
   

3. Set Up Pre-commit Hooks (Optional) If you want to maintain consistency and code quality before each commit:

   pre-commit install
   pre-commit run --all-files
   

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Testing

spectralmatch uses pytest for testing. To run all tests:

pytest

Run tests for a specific file or function:

pytest tests/test_global_match.py

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Contributing

We welcome all contributions! To get started:

1. Fork the repository and create a new feature branch.
2. Make your changes and add any necessary tests.
3. Open a Pull Request against the main repository.

We appreciate any feedback, suggestions, or pull requests to improve this project.

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License

This project is licensed under the MIT License. See LICENSE for details.