Production of Orthomosaics from High-Resolution Satellite Images

Summary

The project focused on the production of orthomosaics from high-resolution satellite images in predefined study areas. Available imagery products were evaluated in terms of geometric accuracy and cost, while the processing included radiometric corrections and image orientation using various geometric models. Methods of orthorectification using DSM and DEM were tested, and the results were assessed based on geometric and radiometric accuracy, implementation time, and cost.

Goal

The project set out to produce high-quality orthomosaics from high-resolution satellite imagery within specific study areas. Beyond simply generating mosaics, the aim was to investigate the balance between geometric precision, processing effort, and cost efficiency. By comparing available imagery and testing different correction methods, the project sought to identify workflows that deliver reliable outputs for scientific and practical use.

To achieve this, the goals were to:

  • Evaluate satellite imagery products in terms of geometric accuracy and cost-effectiveness.
  • Apply image processing techniques, such as radiometric corrections and geometric orientation.
  • Test orthorectification methods using DSM (Digital Surface Model) and DEM (Digital Elevation Model).
  • Assess results against criteria including geometric and radiometric accuracy, implementation time, and overall cost.

Ultimately, the project aimed to define optimal strategies for orthomosaic production that balance accuracy, efficiency, and affordability.

Methodology

The methodology followed a structured workflow to ensure both accuracy and comparability of results. Work began with the selection and evaluation of high-resolution satellite imagery, focusing on the predefined study areas. Available products were assessed based on their potential geometric reliability and cost constraints.

The processing phase involved:

  • Radiometric corrections to standardize image quality and reduce inconsistencies in brightness and color.
  • Image orientation using multiple geometric models to refine spatial accuracy.
  • Orthorectification testing with both DSM and DEM datasets to evaluate the effect of different elevation models on the outputs.

The final step was a systematic assessment of the resulting orthomosaics, considering:

  • Geometric and radiometric accuracy,
  • Processing and implementation time,
  • Cost implications.

This methodology ensured that the project not only produced functional orthomosaics but also provided practical insights into the trade-offs between accuracy, efficiency, and cost in satellite image processing.