Process Radar Data in the ERDAS IMAGINE Environment
Radar mapping is known for its precision, providing different detailed information that cannot be extracted using traditional photogrammetric methods. The IMAGINE Radar Mapping Suite provides specialized tools for processing radar data in a standard remote sensing or GIS environment. With tools for georectifying, filtering and calibrating radar images, you can derive elevation information regardless of cloud cover, day or night from stereo or interferometric pairs. In addition, you can determine surface changes or displacement to centimeter level accuracy, including areas where the ground is sinking from an earthquake or a tunnel is sinking on a construction site.
The Radar Mapping Suite includes the following modules for ERDAS IMAGINE:
IMAGINE OrthoRadar
IMAGINE Radar Interpreter
IMAGINE StereoSAR DEM
IMAGINE SAR Interferometry
Screenshots
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Geocoded RGB Change Detection Product (CCD)
In this CCD Product image, a series of crude oil pipelines (bright green-blue) go into the collection facility area (large white features) and then out to the NW and W. The supporting system of dirt roads are dark, showing a loss of coherence due to vehicle traffic.
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Easy Classification of Radar Imagery
This Figure compares a raw radar image and the resulting classification using the IMAGINE Viewer Swipe Tool. The input imagery is an HH, HV dataset from the ALOS PalSAR sensor. The radar image was despeckled with a 7x7 Local Regions Filter. Then Unsupervised Classification was used to separate the radar image into 10 classes. These were color-coded using the Raster Attribute Editor to Edit-Colors.
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3 image layers of an RGB Change Detection Product (CCD)
The study area in these Envisat images is an oil production facility in Saudi Arabia. The image on the Left is an average of the magnitude of the 2 input SAR images. The Center image is the difference of the magnitude of the 2 input SAR images. The image on the Right is the Coherence Change. It is obvious that only the phase-based Coherence Change layer allows the Analyst to detect a significant change.
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Extracting Waterbody Polygons from Radar Imagery
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Change Detection using SAR imagery
IMAGINE Coherence Change Detection uses interferometic coherence as a qualitative measure of change between two radar acquisitions. This enables the user to detect small-scale and linear features which changed between acquisitions.
Why is Radar Imagery Important to You?
Recently, we have seen the launch of a variety of new radar satellites. Radar imagery is now being utilized for a broad range of applications, including defense and intelligence surveillance, oil and gas exploration, ice monitoring, agricultural and environmental monitoring, disaster response (spills and floods) and much more.
Created in Cooperation with DLR
Intelligent user interfaces, wizard workflows and data-derived defaults are included throughout IMAGINE Radar Mapping Suite, ensuring user-friendly information extraction from radar imagery. These unique radar mapping tools are developed by ERDAS in cooperation with the Remote Sensing Technology Institute of the German Aerospace Center (DLR) and GEOSYSTEMS GmbH.
Save Your Radar Data in Any Raster Format
Create color images to examine the magnitude of change, binary images to detect the most dramatic changes, shapefiles for GIS applications and more. Utilizing the power of ERDAS IMAGINE, these tools are interoperable, supporting all raster file formats, with the ability to seamlessly connect your radar data to any ERDAS solution and many other geospatial products.
Supports Most SAR Satellite Sensors
IMAGINE Radar Mapping Suite supports a growing number of satellite sensors, including RADARSAT-1/2, ERS-1/2, ENVISAT ASAR, ALOS PALSAR, TerraSAR-X (with one meter spotlight modes), and COSMO-SkyMed. Data from other radar sensors is supported by a generic import interface.