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In mapping projects, a free tool estimates DJI drone image overlap

In mapping projects, a free tool estimates DJI drone image overlap

A new, free drone picture overlap estimation tool has been made available by aerial data collecting and analytics company Aerial Imaging Technology in California. The tool's name implies that users can use DJI drones or Micasense payloads to confirm the orthographic image coverage of a project while still on location.

One of the most important components of deploying a drone to create a high-resolution map or 3D model is gathering regularly overlapping photos. Modern image processing tools may more easily stitch together photos with higher levels of image overlap by using repeated areas as a guide to guarantee that everything is correctly aligned.

But once they have left the job site, drone operators frequently discover that the dataset is incomplete or that some imagery is missing. Additionally, as noted by Aerial Imaging Technology, it's a terrible sensation for any operator because time is money and spending more time at one location results in less sites being taken each day. The business was motivated by this to provide a free tool to aid pilots in determining the overlap in drone photographs.

While still on location, pilots can use a tool we've developed to confirm the project's orthographic image coverage. The DJI or Micasense photos used by this browser-based service are projected onto a map along with their estimated positions and coverage footprints. This makes data confirmation straightforward and quick to capture.

Without enabling the footprint component, you may still use the tool to map the positions of DJI or Micasense photos.

But what about project locations with poor Internet access? Will this technology allow operators to estimate image overlap there?

The tool doesn't actually "upload" any photographs, according to Aerial Imaging Technology. It only uploads coordinates and metadata, which ought to function properly with extremely constrained Internet services. Additionally, it ought to function flawlessly if all you're looking for is the locations of the image dots on the screen. But in this situation, the base map won't be discernible.

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