AGRICULTURE
The World’s Preferred Remote Sensing Software Package
ERDAS IMAGINE, the world’s leading geospatial data authoring system, supplies tools for all your Remote Sensing, Photogrammetry and GIS needs.
The Leading Geospatial Data Authoring System
Tools for all your remote sensing, photogrammetry, and GIS processing needs.
What’s new in ERDAS IMAGINE 2020 Update 3?
Update 3 introduces Spatial Modeler operators for Semantic Segmentation image classification and photogrammetric workflows to support satellite sensor geometric modeling.
ERDAS IMAGINE Overview
Geographic imaging professionals need to process vast amounts of geospatial data every day — often relying on software designed for other purposes and add-on applications that create almost as many problems as they solve. Save both time and money, leverage existing data investments, and improve your image analysis capabilities with ERDAS IMAGINE.
ERDAS IMAGINE provides true value, consolidating remote sensing, photogrammetry, LiDAR analysis, basic vector analysis, and radar processing into a single product.
ERDAS IMAGINE Capabilities
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.
製品の問い合わせ
製品についてもっと知りたいです
- Modernizing Operations for Mapping Needs in Kenya
- Monitoring Forest Cover Changes in Madhya Pradesh
- Hexagon Geospatial's Cloud-Based Solution Helps Map Entire Country of Germany
- Hexagon and GEOSYSTEMS Solution Allows German Officials to Automatically Download, Process, and Share Terabytes of Data
- Managing River Flood Risks in Romania and Bulgaria
- Streamlining Forest Management with Web-Based Geoportals
- Tracking Invasive Tree Species in South Africa The Agricultural Research Council (ARC)
- Tracking the Source of the Essequibo River in South America
- Volcanic Hazard Maps Improve Disaster Preparedness in Colombia
- Streaming National Maps as a Service to India
- Oil Palm Mapping tech talk
- Building Footprint Extraction from Point Cloud Data tech talk
- Geospatial Industry: Get the Most Out of AI, Machine Learning, and Deep Learning - Part 1
- Geospatial Industry: Get the Most Out of AI, Machine Learning, and Deep Learning - Part 2
- CLAHE (Contrast Limited Adaptive Histogram Equalization) tech talk
- MosaicPro Optimal Seamline Generation Method tech talk
- GLCM (Grey-Level Co-Occurrence Matrix) tech talk
- Gathering Subsidence and Displacement Data with SAR Time-Series Analysis tech talk
- Image Analysis Workflow Using SIPS in ERDAS IMAGINE
- Quarry Volume Change Identification and Computation with ERDAS IMAGINE
- Using a Vegetation Filter with Change Detection in ERDAS IMAGINE
- Point Cloud (LIDAR) Processing Demonstration
- ERDAS IMAGINE 2020 Update 3 Release Guide
- ERDAS IMAGINE 2020 Update 2 Release Guide
- ERDAS IMAGINE 2020 Release Guide
- ERDAS IMAGINE 2020 Product Description
- ERDAS IMAGINE 2018 Release Guide
- ERDAS IMAGINE 2018 Product Description
- Image Compression in ERDAS IMAGINE
- SAR Capabilities in ERDAS IMAGINE and M.App X
- Supported Data Formats in ERDAS IMAGINE
- Producer Field Guide
- Online Help