Top 5 new features of Blue Marble’s advanced point cloud processing, photogrammetry, and drone mapping software the LiDAR Module®

Over the past few years, Blue Marble Geographics®’ advanced point cloud processing tool has developed into a professional photogrammetry and drone-mapping software. The latest version of the Global Mapper LiDAR Module comes with several enhancements, many of which are to the Pixels-to-Points tool for generating point clouds and 3D meshes from drone-captured images.

Here are the top 5 new features of Blue Marble’s Global Mapper LiDAR Module:


With the new point cloud classification for pole-like objects, users can define the characteristics of the poles they would like to see classified. In the above example, the threshold for the pole classification includes the flag on these flag poles.

1. Automatic point cloud classification of pole-like objects

Manually classifying point cloud data can be time-consuming and tedious. This is why the Global Mapper LiDAR Module comes with automatic point cloud classification tools for points representing ground, buildings, vegetation, noise, powerlines, and most recently added poles.

The new pole classification tool identifies and classifies points of pole-like objects, such as signs, lamp-posts, utility poles, basketball hoops, and other cylindrical features.

With this tool, users can define the characteristics of the poles they would like to see classified. For example, they can define the minimum height and number of points per pole. They can also define a “pole-like” threshold, allowing for either rigid or relaxed definitions of a pole. For instance, a simple post would typically have a pole-like threshold of 90 – 100%, whereas some straight trees may have a pole-like threshold of 35 – 40%.


Users can either automatically mask images by selecting by color, or by manually drawing a selection in the Pixels-to-Points tool of the Global Mapper LiDAR Module v21.

2. Photo masking in the photogrammetric tool Pixels-to-Points for eliminating unwanted backgrounds or data from images

Not all image-data is ideal or necessary in photogrammetrically generated point clouds. This is why an option for photo masking was introduced to the Pixels-to-Points tool in version 21 of the Global Mapper LiDAR Module. Masking allows users to cut out unwanted areas from images, such as swaths of data that tend to not reconstruct well in a point cloud, like sky or water. It also allows users to crop their data down to focus on specific interest areas, which also shortens the point cloud generation process.


Ground-coverage area polygons in the Global Mapper LiDAR Module
The latest version of the Global Mapper LiDAR Module’s Pixels-to-Point tool displays the ground extent of each input photo to help users visualize the overlap of adjacent selected images.

3. Ground coverage polygons for showing the approximate ground coverage of drone-captured photos

Photogrammetrically generated point clouds can require hundreds of drone-captured images. To make it easier to manage and visualize the ground-coverage area of each photo, the latest version of the Global Mapper LiDAR Module’s Pixels-to-Points tool displays the ground extent of each input photo. Displaying these coverage-area polygons can also help users visualize the overlap of adjacent selected images.


Importing external files for high-accuracy positioning of orthoimages and point clouds
The latest version of the LiDAR Module allows users who have high-accuracy positioning in their orthoimages and point clouds to overwrite the initial geotag information that comes with their drone-captured images.

4. Additional support for importing accurate GPS information from external text files

In the latest version of the LiDAR Module, users can update the image-capture location — EXIF information — from a text file. This allows users who have high-accuracy positioning in their orthoimages and point clouds — such as PPK — the ability to overwrite the initial geotag information that comes with their drone-captured images. This is a valuable feature for surveyors who need highly accurate photogrammetric point clouds or meshes.


Displaying drone-captured images that contain common ground control points
When a single image is selected, the Pixels-to-Points tool automatically suggests and highlights all image file names that may contain common ground control points.

5. Identification of images that contain selected ground control points based on their location

Another improvement to the Pixels-to-Points tool is the ability to see images that contain the same ground control points. When a single image is selected, the tool automatically suggests and highlights all image file names that may contain common ground control points. This makes selecting images based on location much easier and faster.


Accessible photogrammetry and point cloud processing software

Most of the improvements to the latest release of the Global Mapper LiDAR Module are to the photogrammetric point cloud generation tool Pixels-to-Points. This functionality allows GIS professionals easier access to point cloud data as drones and cameras become more affordable.

To try the Pixels-to-Points tool and the other powerful tools that come with the Global Mapper LiDAR Module, request a free two-week trial after downloading Global Mapper® here.

Leave a Reply

Your email address will not be published. Required fields are marked *