Discover the Potential of Your Imagery

ERDAS IMAGINE simplifies image classification and segmentation, orthorectification, mosaicking, reprojection, elevation extraction, and image interpretation.

Streamline Your Workflow and Save Time

Powerful algorithms and data processing functions work behind the scenes so you can concentrate on your analyses.

Multiple Classification Solutions

ERDAS IMAGINE offers K-Means, ISODATA, object-based image segmentation, Machine Learning and Deep Learning Artificial Intelligence algorithms.

The Power of Spatial Modeler

The Spatial Modeler’s graphical editing environment provides flexibility to capture domain expertise and turn it into re-usable algorithms.

Point Cloud Processing

ERDAS IMAGINE fully enables the display, editing, and analysis of point clouds derived from LiDAR or point correlation of stereo pairs.

Case Studies

Modernizing Operations for Mapping Needs in Kenya

Ranging from tropical forests and beaches to arid deserts and grasslands, the diverse landscape of the east African country of Kenya is a challenge to map. Survey of Kenya needed to modernize their way of mapping the area to keep up with the evolving capabilities of geospatial technology and better meet mapping needs to support operations and decision-making within their country.
By adding a variety of photogrammetry, terrain editing, and remote sensing tools to support the photogrammetric operations, and implementing an online cataloging system to make their data more accessible, Survey of Kenya has improved both the speed and convenience of their mapping production.

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Monitoring Forest Cover Changes in Madhya Pradesh

Forests represent a significant resource for the state of Madhya Pradesh, India, with both forestry and non-timber forest products, such as medicinal herb collection, contributing to the welfare of the citizens. Owing to the economic importance of forest wealth, the Madhya Pradesh Forestry Department implemented an integrated platform to conduct change analysis studies over time, land use surveillance, and forest mapping, all processed on a central data server. Reports are distributed to over 15,000 committees in their geographically dispersed workforce that serve to protect and manage forests in the state.

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Cloud-based solution by Hexagon’s Geospatial division helps map entire country of Germany

Leveraging geospatial data for various purposes across large, disparate organizations that span an entire country is a tremendous challenge, especially when geospatial data ownership is decentralized across states. Hexagon’s Geospatial division and their partner GEOSYSTEMS Germany were recently awarded a project to help one of Europe’s leading electricity and gas companies – the RWE Deutschland AG. With its headquarters in Essen, Germany, RWE Deutschland sought to organize and manage geospatial data for the entire country of Germany, covering more than 365,000 square kilometers of land area.

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