Summary
This article provides a central overview of how to work with Ground Control Points (GCPs) in SDX-Cloud. It links to individual guides that explain the concept of GCPs, how to configure them in projects, and how to use them during dataset imports.
A navigation hub to the three key GCP topics: basics, project setup, and using GCPs during import.
Introduction
Ground Control Points (GCPs) are critical for improving the spatial accuracy of drone-based photogrammetry. In SDX-Cloud, you can define and use GCPs to anchor your datasets to real-world coordinates — essential for high-precision outputs, alignment across flights, and reliable comparisons.
This article connects the three key topics related to GCPs:
- Understanding what GCPs are and why they matter
- Setting up GCPs in a project
- Using GCPs during manual dataset import
1. Learn the Basics: What Are GCPs?
Before using GCPs in SDX-Cloud, it’s important to understand their purpose, how to place them correctly, and what formats and dimensions are required for detection.
2. Configure GCPs in Your Project
SDX-Cloud allows you to upload a GCP CSV file with each project. This article explains:
- File requirements and format
- How to upload or replace GCPs
- Key guidelines for setup and maintenance
3. Use GCPs During Dataset Import
When uploading a new snapshot (e.g., drone images), GCPs can be included to improve photogrammetry output. This guide walks through:
- Enabling GCPs during import
- Uploading your GCP file
- Troubleshooting detection issues
Common Tips for GCP Use
Use enough points, ensure visibility in multiple images, and keep measurements and imagery conditions clean.
- Use at least 3 GCPs, each visible in 3+ images.
- Measure GCP size precisely — don’t guess.
- Avoid glare, shadows, or occlusions in imagery.
- Reuse GCPs across flights for consistent alignment.
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