IMAGINE Photogrammetry (formerly LPS)

Efficiently Transforming Raw Imagery into Accurate, Reliable, Geospatial Data
  • Get more points per inch

    SGM produces point spacing more dense than LIDAR.
  • Many viewing options in one viewer

    From point clouds to raster imagery, just drop them in and view
  • Organize your project with ease

    Viewing your imagery and finding the tools you need is just a click away
  • Pick your sensor for dense matching

    Use only the area of your models you need


Technical Documents


Product Descriptions

System Requirements

What's New


White Papers

Creating Customized Spatial Models with Point Clouds WhitePaper

This white paper shows describes how to use the point cloud tools in the ribbon interface of ERDAS IMAGINE 2014, as well as operators within the spatial modeling environment.  Users can now edit point clouds through RGB encoding, classifying and rasterizing – allowing for a more streamlined and efficient workflow.  By offering the option to rasterize the point clouds, the new Spatial Modeler also provides more accurate bare earth extraction.


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Volumetric Measure Using Geospatial Technology

Using high-resolution terrain information generated from stereo imagery, you can obtain volumetric measurements for monitoring and surface analysis. In this whitepaper, we detail workflows that could be used for such a task. We will prepare the project and stereo imagery, create a digital surface model (DSM), and take volumetric measurements. For our demonstration, the goal is to collect volumetric measurements that show how much earth has been removed from a quarry or mine. However, this process could also be used for a variety of applications.
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Rein in 3D Point Clouds with the LAS Format

The advent of LiDAR sensors has been valuable for the geospatial industry, but there have been some challenges as the community attempts to fully leverage the technology.
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3D Geoinformation from Satellite Sensors

The notion of “3D GIS” has been gaining momentum in the geospatial industry for a few years now. Realistic 3D vector data, Building Information Modeling (BIM), 3D terrain and imagery are all important components of building a GIS infrastructure that goes beyond two dimensions. The convergence of GIS, photogrammetry and remote sensing data, tools and methods has now matured to the point of making integrated 3D GIS applications a reality.
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ERDAS Engine - Increasing Throughput in a Cost-effective Fashion

As geospatial analysts process the extremely large imagery datasets that are typical in this industry, they are faced with a choice: save money by slowly generating data products using existing resources, or purchase additional software licenses to increase the number of processes that can be executed simultaneously. ERDAS Engine enables organizations to radically boost processing efficiency for less money.
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The New Paradigm: Leveraging the "Information Cloud" with the Dynamic GIS

The Dynamic GIS, which completely connects sensors to software and software
to solutions through specific vertical market services, ultimately provides a means
to protect lives, infrastructure, and society. An integrated geospatial system, the
Dynamic GIS is able to translate change, on the fly, into actionable information. The
earth is constantly changing, and snapshots of geography can be captured from
airborne, orbital, terrestrial, or hand sensors and saved as a permanent record of
events happening on the earth’s surface.
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