Month: September 2020

5 Features to Expect from the Best Photogrammetry Software

If you’re looking to create an orthomosaic map or model, your photogrammetric data needs to be organized and processed with advanced photogrammetry software. But how can you decide which software to use?

You’ll need to consider the specifics of your project, but in general, you should expect these five features from the best photogrammetry software:

  • Speed
  • Accuracy
  • Stability
  • Scalability (no arbitrary upload limits)
  • User-friendliness

In this blog post, we’ll go over each of these features so you can find the software that’s right for your project.

Speed

Photogrammetry involves processing enormous amounts of data, and you need a platform that can do that without slowing you down. Especially for larger projects, processing speed can vary depending on the provider’s technology.

Cloud-based solutions aren’t limited by on-premise hardware, which means your data can be processed faster. When researching providers, look for a cloud-based solution that operates on highly rated data centers and uses GPU acceleration to expedite processing.

Accuracy

Accuracy depends largely on the images and data you collect, so your flight plan will be very important on this front — without solid image capture, you’ll likely end up with errors and distortion. However, the software you use will also impact the accuracy of your final map.

Look for a platform that includes accuracy tools like ground control points (GCPs) and scale constraints, which help ensure that your final map is to scale.

Stability

If you’re working on a deadline you can’t afford constant software crashes and errors – it’s critical to look for a platform that can guarantee uptime and stability.

A provider with a cloud-based, geographically distributed system and state-of-the-art data centers is more likely to be able to offer that stability.

Scalability (no arbitrary upload limits)

Some platforms can process thousands of photos — and terabytes or petabytes of data — at a time.

Upload limits can seriously inhibit your ability to complete larger, highly detailed projects. Even if you’re not looking to complete a huge project right now, scalability is key, so it’s best to choose a platform that will scale up to meet your needs.

With some platforms, upload limits will cap the amount of data you can process, which means you’ll have to go through the hassle of switching platforms if you want to move on to bigger and better projects. Giving your business the flexibility to be able to process more data in the future eliminates that particular roadblock when it’s time to scale up.

User-friendliness

Photogrammetry software is an amazing tool with a variety of use cases. With more and more people across industries leveraging this technology every day, it’s important for it to be accessible. In other words, it shouldn’t be a headache to use.

The best photogrammetry software is straightforward and user-friendly, and doesn’t require advanced technical knowledge. Look for a platform that’s easy and convenient to use, from creating maps to storing, sharing, and using them.

Conclusion

There are several software solutions on the market that can help you convert raw data into orthomosaic maps, so you’ll need to choose the one that’s best for your particular needs around processing, budget, technology, and more.

As you evaluate different platforms, consider speed, accuracy, stability, scalability, and user-friendliness — key features you’ll find in the best photogrammetry software.

Turning Drone Photogrammetry into Orthomosaic Maps

Drone photogrammetry is growing in popularity as more industries discover the value that 3D orthomosaic maps create for their internal teams and their customers. Despite this emerging visibility, many people are still unsure about what goes into an orthomosaic map and how one is generated.

In this post, we’ll explain how to use drone photogrammetry to create orthomosaic maps, and address some updated best practices to help you get the results you want.

What is an orthomosaic map?

Orthomosaic maps offer a photorealistic representation of an area that can produce surveyor-grade measurements of topography, infrastructure, and buildings.

Each orthomosaic map is made up of dozens of orthoimages (alternately called orthophotos). An orthoimage is an extraordinarily detailed aerial photograph that is pinned to a geographic position to create continuity and uniformity when sequenced by mapping software. A data set made up of numerous orthoimages is collected with detailed documentation on their geographic position and any external factors that could impact the collected data.

To produce a uniform scale, orthoimages are normalized for factors including altitude, lens distortion, camera tilt, and environmental conditions like humidity. Once they’re corrected, the images can be stitched together with advanced mapping software to produce both a 2D or 3D orthomosaic map.

What makes orthomosaic maps uniques?

More than just a tech-savvy atlas, cutting-edge orthomosaic maps can be used to document changes in local vegetation or landscape over time, which can be helpful in a number of use cases including environmental monitoring, emergency response, and much more.

They are detailed enough to measure distance, height, and depth on land masses and manmade structures, which allows users to instantly source accurate on-the-ground conditions and information from anywhere in the world.

This emerging technology is especially valuable for industries that monitor, secure, and maintain infrastructure in distant, often very isolated rural locations — telecommunications, utilities, and oil/gas, to name a few.

Collecting orthoimages with drone photogrammetry

Traditionally, aerial photography was performed by manned aircraft or distant satellites, each of which has shortcomings. For example, airplanes and helicopters are highly susceptible to environmental conditions and human error, while satellite technology is prohibitively expensive for most firms.

UAV technology allows users to carefully map out flight plans and capture high-resolution images with minimal distortion. The ease of use and extraordinary mobility of unmanned flight makes high-quality data collection simple, safe, and accessible. Drones have also lowered the bar of entry with regards to cost, which is driving an explosion in research and innovative new use cases.

The importance of a flight plan

Producing high-quality orthomosaic maps involves detailed flight planning and data organization. When developing a flight path for a project, you need to prioritize three key factors:
  • High-resolution imagery – Images collected need to be sharp, well-timed, and properly normalized. Low-quality images can lead to blurry images, vignetting, and other distortions.
  • Adequate overlap – An average orthomosaic map requires overlap of around 70%, though some projects necessitate more. Overlap ensures there are no gaps or inaccuracies in your data.
  • Relevant images – Nonessential views can introduce ambiguity and distortion into your map. Data sets should not include images from takeoff and landing, nor should off-angle shots taken during turns be used.

Thanks to advanced mobility and hovering, creating a tightly managed flight plan using a UAV drone makes curating high-quality images with consistency and proper alignment easier than ever.

Creating data about data

It’s not just the images themselves that make an orthomosaic map work. Metadata collected alongside each image allows processing software to build an accurate schematic from dozens or even hundreds of unique images.

In this context, metadata is a collection of data-encoded notes that are pinned to images to organize them along a flight path. It ties the image to a GIS location and provides context into other factors that may influence data normalization, such as time/date, focal length, resolution settings, and weather conditions.

Metadata should also document who created a data set and under what conditions, both factors that may influence whether data is appropriate for an orthomosaic map. Without accurate metadata, any aerial photographs collected or maps created aren’t reliable.

Turning orthoimages into orthomosaic maps

Going from a catalog of digital images to a fully dynamic 3D experience requires advanced digital processing. The tools you select will impact the quality of the map created, and unfortunately not all photogrammetry software is up to the challenge.

When shopping for a photogrammetry processing software, here’s what to look for:

  • Speed – Data processing should be fast enough to not get bogged down in large data sets. Be sure to examine the technical specifications of the hardware (on-prem servers and hardware or the cloud provider’s data center, for example) as well as the software.
  • Upload limits – The size of your mapping project should be limited by only your imagination. Look for cloud-based photogrammetry software like Mapware that can scale to meet project demands. 
  • Accuracy – Software shouldn’t introduce external distortion to data sets with poor GIS accuracy and data management practices. Accuracy tools like ground control points (GCPs) and scale constraints help to ensure the quality of your final product. 
  • Stability – Nothing is quite as frustrating as when software crashes and your work is lost. Any photogrammetry software should guarantee uptime and error prevention. 
  • User-friendliness – Creating 3D maps doesn’t have to be difficult. Find a software solution that is user-friendly when it comes to creating maps and storing, sharing, and using them.

Mapware is powerful photogrammetry software designed by experts in the field of drone-mounted photogrammetry. It’s designed to process your images and data faster than ever, all from an easy-to-use platform.

Conclusion

As more innovative use cases are developed, more industries are discovering the full potential of drone photogrammetry. As drone technology advances and data and imaging software improves, the horizons of what this powerful technology can do will only grow.