Photogrammetry-Guide  by mikeroyal

Photogrammetry guide for efficient development

created 4 years ago
1,335 stars

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Project Summary

This repository is a comprehensive guide to photogrammetry, covering its applications, techniques, hardware, software, and related fields like GIS and LiDAR. It serves as a valuable resource for anyone looking to understand or implement photogrammetry, from beginners to experienced professionals in surveying, architecture, gaming, and more.

How It Works

Photogrammetry involves capturing overlapping photographs of an object or scene and using them to reconstruct 3D information. The guide details various techniques like Structure from Motion (SfM) and algorithms such as Scale-Invariant Feature Transform (SIFT). It also explores different data representations like point clouds, Digital Elevation Models (DEMs), and Digital Surface Models (DSMs), and introduces advanced concepts like Neural Radiance Fields (NeRF) for real-time rendering.

Quick Start & Requirements

This is a guide, not a software package. No installation or specific requirements are needed to read and learn from its content. Links to relevant tools, libraries, and courses are provided throughout.

Highlighted Details

  • Extensive coverage of photogrammetry techniques, including SfM, SIFT, DEM/DSM generation, and NeRF.
  • Detailed sections on hardware considerations, such as cameras and drones, with specific model recommendations.
  • A broad overview of related technologies like GIS, Remote Sensing, LiDAR, and their associated software.
  • Comprehensive lists of tools, libraries, frameworks, courses, and books for further learning and practical application.

Maintenance & Community

This is a static guide. Maintenance and community interaction would depend on the platform hosting it (e.g., GitHub). The repository is maintained by mikeroyal.

Licensing & Compatibility

Distributed under the Creative Commons Attribution 4.0 International (CC BY 4.0) Public License. This license allows for sharing and adaptation with attribution.

Limitations & Caveats

As a guide, it does not provide executable code or direct software functionality. The information is a curated collection of resources, and the practical implementation of photogrammetry requires separate software and hardware.

Health Check
Last commit

1 month ago

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Inactive

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61 stars in the last 90 days

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