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October 19, 2010

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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Product: LPS

March 15, 2012

This is a winner paper from our 2012 ERDAS IMAGINE-DigitalGlobe Geospatial Challenge. Howard’s work has implications for predicting daily movement patterns of all mobile animals, as high-resolution imagery and subpixel analysis in conjunction with habitat modeling represent significant improvements to previous attempts to link species occurrence or animal behavior with environmental variables.
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Product: ERDAS IMAGINE

December 18, 2013

This paper details how the AAIC application converts native digital number (DN) units directly to pixel reflectance units.
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Product: IMAGINE AAIC

August 08, 2013

This whitepaper is intended for technical developers using the ERDAS ECW/JP2 SDK, and addresses questions about Intergraph®’s Enhanced Compressed Wavelet (ECW) image compression technology.

For effective management of raster datasets, compressed imagery must be able to provide fast encoding and decoding speeds, small file sizes and superior image quality. Where customers seek to balance or perhaps prioritize one characteristic, however, it’s critical to understand how each impact the others. For example compressing to a high target ratio might save an organization tens of thousands of dollars in storage costs, however at what cost to image quality? Read on to understand the intrinsic link between characteristics, demonstrated by testing compression algorithms to different degrees. The test results found within this document strongly highlight ECW’s strengths and weaknesses, and ultimately will enable customers to better understand their own ideal ECW format lifecycle.
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Product: ERDAS ECW JPEG2000 SDK ECW

April 05, 2012

This paper was submitted as part of the 2012 ERDAS IMAGINE-DigitalGlobe Geospatial Challenge. Satellite remotely-sensed data has been applied to estimate water depth in the clear and shallow water area. In this study, we use Quickbird and WorldView-2 imagery for bathymetric mapping around Itu Aba Island, located in the center of South China Sea (SCS). A linear model is applied to estimate water depths. The result show that the error of water depth estimated from Quickbird imagery is about 9.7% around Pratas Island. The model is also applied to map the water depth around Itu Aba Island with Quickbird and WorldView-2 images. A more changeable depth is found from WorldView-2 image than that from Quickbird. It implies that the coastal blue band in WorldView-2 imagery may retrieve more information.
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October 19, 2010

Many countries have organizations responsible for collecting, surveying, processing, analyzing and publishing geospatial information for specified areas. These organizations have an official mandate or simply a crucial need to make their data available to private or public users, individuals or organizations.
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October 19, 2010

Change detection is used to highlight or identify significant differences in imagery acquired at different times; playing an important role in the lifecycle of GIS features and providing the capability to update feature data based on new imagery.
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Product: IMAGINE Objective

April 05, 2012

This paper was submitted as part of the 2012 ERDAS IMAGINE-DigitalGlobe Geospatial Challenge. Remote sensing and Geographical Information Sciences has contributed a lot towards site specific to global level vegetation and earth surface monitoring. Different Analyses are carried out for WorldView-2, SPOT 5 and Terra/Aqua Satellites datasets. High spectral and spatial resolution satellite data is sometime constrained by its optimum visualization and interpretation. Optimum Index Factor for improved visualization in case of SPOT5 is observed to be less consistent for optimum data visualization as compared to WorldView-2 data.
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April 10, 2014

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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Product: ERDAS IMAGINE LPS LiDAR

May 03, 2011

For ERDAS IMAGINE 2011, ERDAS Inc. has developed a new algorithm for change detection between two co-registered images acquired at different dates. This algorithm, named Discriminant Function Change (DFC), characterizes the natural distribution of spectral clusters in the data space of one image, then uses a discriminant function to measure probability of change of the pixels in the other image.
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Product: ERDAS IMAGINE

April 10, 2014

Shapefiles are a time-tested method for data exchange. However, because today’s projects are growing in size and complexity, technology is surpassing shapefiles’ capabilities as a useful mechanism. The Esri® File Geodatabase (FGDB) format is becoming a better choice for data exchange, replacing shapefiles in modern data exchange workflows.

This paper discusses how the 2014 release of Hexagon Geospatial products, which include a new FGDB dataserver, enables users to seamlessly work with Esri data in their workflows.
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Product: GeoMedia GeoMedia WebMap GeoMedia Smart Client

February 15, 2014


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Product: ERDAS APOLLO

April 14, 2014

This whitepaper contrasts the performance characteristics serving the Enhanced Compressed Wavelet (ECW) file format from ERDAS APOLLO against Esri® ArcGIS for Server.


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Product: ERDAS ECW JPEG2000 SDK ECW ECW_for_ArcGIS ECW_Plug-ins

December 13, 2010

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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Product: ERDAS IMAGINE LPS ERDAS Engine

April 05, 2012

This paper was submitted as part of the 2012 ERDAS IMAGINE-DigitalGlobe Geospatial Challenge. In this paper, WorldView-2 image is used to identify Saltcedar, one of most notorious invasive plants in United States. Three different classification methods (MLC, SVM, NN) have been performed and compared, and the contribution of each band has been fully examined. The result indicates that WV-2 image is able to identify saltcedar even at fine classification levels. Also the newly added bands help to facilitate species discrimination.
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