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ERDAS IMAGINE 2014 Release Notes Version 14.00.0000 December, 2013

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Page 1: ERDAS IMAGINE 2014 - Hexagon Geospatialcommunity.hexagongeospatial.com/hmrkh95973/attachments/hmrkh95973/...8 ERDAS IMAGINE 2014 Release Notes Please refer to the Supported Environments

ERDAS IMAGINE 2014 Release Notes

Version 14.00.0000

December, 2013

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Copyright © 2013 Intergraph Corporation. All Rights Reserved.

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University and/or the U.S. Government; and (c) The University has no obligation to furnish any know-how, technical assistance, or technical

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ERDAS IMAGINE 2014 Release Notes 5

Contents About this Release ...................................................................................................................................... 7

ERDAS IMAGINE® ........................................................................................................................................ 7

New Platforms .............................................................................................................................................. 8

Microsoft Windows 8.1 ............................................................................................................................ 8 Leverage your 64-bit environments ........................................................................................................ 8

New Technology .......................................................................................................................................... 9

Point Cloud Operators in Spatial Modeler .............................................................................................. 9 Add Bias ........................................................................................................................................... 9 Classifier ........................................................................................................................................... 9 Delete Points .................................................................................................................................... 9 Merger ............................................................................................................................................ 10 Point Cloud Compare ..................................................................................................................... 10 Point Cloud Information .................................................................................................................. 10 Point Cloud to Raster ..................................................................................................................... 10 Reclass ........................................................................................................................................... 10 RGB Encode ................................................................................................................................... 10 Select By ........................................................................................................................................ 10 Set Constant Z ................................................................................................................................ 10 Subset............................................................................................................................................. 11

Classification operator in Spatial Modeler ............................................................................................ 11 Segmentation operator in Spatial Modeler ........................................................................................... 11 Command Line Operator in Spatial Modeler ........................................................................................ 11 Dodge Plus Operator ............................................................................................................................ 11 Input / Output operator Preview Prompts ............................................................................................. 12 ERDAS ER Mapper wizards using Spatial Modeler ............................................................................. 12 ERDAS ER Mapper ERS Support Improved ........................................................................................ 12 ECW Compression Improvements ........................................................................................................ 12 New Sensor Models: ............................................................................................................................. 13

Pléiades .......................................................................................................................................... 13 KOMPSAT-III .................................................................................................................................. 14 SPOT6 ............................................................................................................................................ 14 TH-01 .............................................................................................................................................. 14

Semi Global Matching (SGM) ............................................................................................................... 14 New importers and Raster dlls .............................................................................................................. 15 New Datums & Projections ................................................................................................................... 15 Data Display .......................................................................................................................................... 16 Radar Analyst ........................................................................................................................................ 16

On-the-fly Despeckle ...................................................................................................................... 16 On-the-fly Auto Enhance / Colorize ................................................................................................ 16 On-the-fly Blue is New .................................................................................................................... 16 Optimized Histogram Rescale ........................................................................................................ 16 Incidence Angle pointer .................................................................................................................. 17

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6 ERDAS IMAGINE 2014 Release Notes

CCD Time Series ............................................................................................................................ 17 New Add-on Module: IMAGINE AAIC ................................................................................................... 17

New Packaging .......................................................................................................................................... 17

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ERDAS IMAGINE 2014 Release Notes 7

This document describes the enhancements for ERDAS IMAGINE 2014, including IMAGINE

Photogrammetry (formerly LPS Core) and ERDAS ER Mapper. Although the information in this

document is current as of the product release, see the Intergraph Support website for the most

current version.

This release includes both enhancements and fixes. For information on fixes that were made to

ERDAS IMAGINE for this release, see the Issues Resolved report on the Intergraph Support

website for a specific product.

This document is only an overview and does not provide all of the details about the product's

capabilities. See the online help and other documents provided with ERDAS IMAGINE for more

information.

ERDAS IMAGINE® performs advanced remote sensing analysis and spatial modeling to create

new information. In addition, with ERDAS IMAGINE, you can visualize your results in 2D, 3D,

movies, and on cartographic-quality map compositions. The core of the ERDAS IMAGINE

product suite is engineered to scale with your geospatial data production needs. Optional

modules (add-ons) providing specialized functionalities are also available to enhance your

productivity and capabilities.

IMAGINE Essentials® is the entry-level image processing product for map creation and

simple feature collection tools. IMAGINE Essentials enables serial batch processing.

IMAGINE Advantage® enables advanced spectral processing, image registration,

mosaicking and image analysis, and change detection capabilities. IMAGINE Advantage enables parallel batch processing for accelerated output.

IMAGINE Professional® includes a production toolset for advanced spectral,

hyperspectral, and radar processing, and spatial modeling. Includes ERDAS ER Mapper.

About this Release

ERDAS IMAGINE®

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8 ERDAS IMAGINE 2014 Release Notes

Please refer to the Supported Environments document for full details on all platforms

supported by ERDAS IMAGINE 2014. However some key changes are noted below.

Microsoft Windows 8.1 Windows 8.1 Pre Release was tested and certified as supported during the development of

ERDAS IMAGINE 2014. However the final version was not released in time to test. Status will be

announced at a later date.

Leverage your 64-bit environments ERDAS IMAGINE now supports both 32-bit and 64-bit environments. Resource intensive applications leverage 64-bit environments for increased memory access and processing speed. Some key applications that benefit from 64-bit processing:

APM – can handle much larger blocks (i.e. more imagery)

ECW and JP2 compression – Compress larger images faster

ECWP – Faster streaming

Image Segmentation – Process larger images with fewer tiling artifacts

MosaicPro – Faster processing of large projects

Ortho-resampling – Up to 40% faster when using RPC models

Spatial Modeler – More memory available for complex processing, faster execution via

multi-threading (includes many operations provided through the Raster tab)

New Platforms

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ERDAS IMAGINE 2014 Release Notes 9

ERDAS IMAGINE 2014 introduces several new technology areas beside the move to 64-bit.

Primary amongst these is an ongoing expansion of the capabilities provided by the Spatial

Modeler, including new operators for processing and analyzing point cloud data (such as LAS)

as part of your Model. Details can be found below.

Point Cloud Operators in Spatial Modeler Point Cloud data, such as LiDAR LAS files or the results of Semi-Global Matching (SGM)

processes, are becoming a common and extremely important source of additional geospatial

information suitable for applications as diverse as change detection to intervisibility analysis.

To support flexible utilisation of this important data source a suite of new Operators has been

added to the 2014 Spatial Modeler to assist in the creation of custom workflows that include

point cloud data.

Add Bias

Adds a constant bias to the elevation of selected points in a Point Cloud data and writes the

output to a new point cloud file.

Classifier

This operator lets you classify point cloud data into ground surface, buildings and vegetation.

Delete Points

The Delete operator deletes selected points from a point cloud data and writes the output to a

new point cloud file.

New Technology

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10 ERDAS IMAGINE 2014 Release Notes

Merger

The Merger operator lets you merge multiple input Point Cloud (LiDAR) data into a single Point

Cloud data.

Point Cloud Compare

This operator compares two point clouds. Point clouds are considered equal if they have the

same number of points with the same X, Y coordinates and other attributes and their Z value is

within the specified threshold.

Point Cloud Information

This operator generates basic information about a Point Cloud dataset.

Point Cloud to Raster

The Point Cloud to Raster operator creates a raster (image) data from a point cloud input.

Reclass

The Reclass operator lets you change the classes of selected points using the ASPRS

classification table (the equivalent of a raster Recode operation). The result will be written to a

new point cloud file.

RGB Encode

The RGB Encode operator lets you create a new Point Cloud (LiDAR) file with RGB information

from a Point Cloud file with no RGB information and a reference image. The resampling

method for RGB Encode is Bilinear Interpolation.

Select By

The Select By operator lets you select points from a point cloud dataset. Point selection is

performed by a combination of extent, class or return number. Other Point Cloud operators

can then be applied to the selected points.

Set Constant Z

The Set Constant Z operator set the Z value of selected points to the specified Z value and

writes the output to a new Point Cloud file.

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ERDAS IMAGINE 2014 Release Notes 11

Subset

The Subset operator lets you create a new Point Cloud file based on selected points. Point

selection can be done by extent, class or return number.

Classification operator in Spatial Modeler A new Unsupervised Classification Spatial Modeler operator has been added to ERDAS

IMAGINE 2014. Users can now include Unsupervised Classification in the models they create.

Users familiar with the Unsupervised Classification application in ERDAS IMAGINE will find the

same controls available in the new operator, including being able to specify between

Isodata1 or K Means2 algorithms, and control the number of clusters and iterations.

Segmentation operator in Spatial Modeler A new Full Lambda Schedule (FLS) Image Segmentation Spatial Modeler operator has been

added to ERDAS IMAGINE 2014. Users can now include FLS Image Segmentation in the models

they create. Users familiar with the Lambda Schedule Segmentation application in IMAGINE

Objective will find the same capabilities available in Spatial Modeler through this new

operator.

Command Line Operator in Spatial Modeler Run ERDAS IMAGINE and 3rd party executables as part of your Spatial Model process.

Dodge Plus Operator

A Spatial Model operator that provides spatially-adaptive local brightness and contrast correction for aerial photography and satellite imaging, which frequently suffer from uneven scene illumination caused by the varying position of the camera look angle with respect to the sun at a given location.

1 In this method you can set a range for the number of clusters. This is because the Isodata algorithm can perform cluster deletion, splitting, and merging between iterations.

2 This method requires you to enter a predetermined number of output clusters. Pixels are iteratively classified into this number of

clusters without any deleting, splitting, or merging during the process.

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12 ERDAS IMAGINE 2014 Release Notes

Input / Output operator Preview Prompts The Spatial Modeler now supports prompting for the values to be used where Input or Output

Ports have been added to a Spatial Model when running the Model in Preview mode. Input and

Output ports are usually used to prompt the user for variables such as file names or band

combinations, including providing bubble help to assist the user in understanding what

parameters should be defined. By extending this capability to Preview mode Models have been

made far more interactive for use as shared, generic real-time processing algorithms.

For example, a Model could be authored for real-time pan-sharpening of imagery. Running the

Model in Preview mode will now prompt the user to supply the names of the input Pan and

Multispectral images as well as any other required variables, rather than these being hardwired

into the Model and requiring manual editing by the end user.

ERDAS ER Mapper wizards using Spatial Modeler Select ERDAS ER Mapper wizards have been converted into ERDAS IMAGINE Spatial Models

and presented through a standard GUI, providing real time preview and manipulation similar to

an ER Mapper algorithm.

Horizon Azimuth

Horizon Dip

Horizon RTS (Real time shading)

Pseudo Color

RGBI Shaded Relief (called RGBI color drape in ERDAS ER Mapper)

ERDAS ER Mapper ERS Support Improved Improves the read support for ERDAS ER Mapper ERS files in ERDAS IMAGINE, including persisting of NoData and other metadata.

ECW Compression Improvements Particular attention has been made to expand use of the ERDAS ECW/JP2 SDK v5.1 in ERDAS

IMAGINE for the 2014 release.

Improved ECWP performance

Use the 64-bit ERDAS ECW/JP2 SDK v5.1 whenever possible for both decoding (reading) and encoding (compressing) ECW and JP2 data

Improved ECW encoding performance, especially when encoding from tiled image formats in the ECW Export tools

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ERDAS IMAGINE 2014 Release Notes 13

Improved ECW encoding performance in the DirectWrite tools (both Legacy and new Spatial Modeler, resample, reproject, etc.)

Improved ECW v2 opacity layer generation performance

Automatically transfer NoData pixels from source imagery into ECW v2 and v3 opacity layers

Automatically write NULL blocks into ECW v3 files when input block is all NoData, further shrinking the ECW file without decreasing quality

Add capability to geocorrect (Orient to Map) calibrated images and images with worldfile rotations in ECW Export

All rotation padding pixels created by Orient to Map process automatically become NULL blocks and opacity layers

Directly read statistics and histograms from ECW v3 files

ECW Export and View / Edit Metadata can write statistics and histograms into ECW v3 files

Visually lossless re-compression in ECW Export when processing from ECW files to ECW files

If necessary can fully utilize memory when encoding ECW and JP2 data

Expanded ECW and JP2 compression reports

Expanded information in ECW Info tab found in View / Edit Image Metadata

Improved Virtual Mosaic (VMCx) performance when encoding into ECW and JP2 data

New Sensor Models: Support to the following sensors have been added in IMAGINE Photogrammetry, Geometric

Correction tools and AutoSync.

Pléiades

Pléiades is an optical observation system consisting of two identical satellites that deliver 50cm

color products. Pléiades 1A and Pléiades 1B operate as a constellation in the same orbit,

phased 180° apart.

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14 ERDAS IMAGINE 2014 Release Notes

KOMPSAT-III

KOMPSAT-3 ( Korea Multi Purpose Satellite-3) satellite was launched on May 18, 2012 and

operates at an altitude of 685 km in a sun-synchronous orbit for 4 years.

SPOT6

SPOT-6 (Système Pour l’Observation de la Terre) is an optical satellite built by Astrium and was

successfully launched on September 9, 2012.

TH-01

STH-01 is a Chinese satellite launched on Aug 24 2010 and captures triplet stereo imagery.

Sensor Category Model

KOMPSAT-III Rational Functions KOMPSAT RPC

Pléiades RPC, Orbital Pushbroom Pléiades RPC, Pléiades

SPOT6 RPC, Orbital Pushbroom SPOT6 RPC, SPOT6

TH-01 Rational Functions TH-01 RPC

Table: Level of support of new sensors

Semi Global Matching (SGM) A capability to generate Digital Terrain Models (DTM) using Semi Global Matching (SGM) has

been added for generating dense point clouds from Digital Frame Sensors such as Leica RCD30

and Z/I DMC sensors.

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ERDAS IMAGINE 2014 Release Notes 15

New importers and Raster dlls Enhanced USGS Landsat 7 and 8 importer

DIMAP v2 (for SPOT6, Pleiades, etc)

RapidEye

New Datums & Projections Canadian CGV28 and CGG2010 vertical datums

NAD83 (2011) Datum

AUSGeoid09 Datum

ITRF 2005 and 2008 Datums

S-JTSK / Krovak East North Projection system (EPSG: 5514)

Various Coordinate system changes for Norway and Finland

ED50 to ETRS89 / UTM zone 31 for Catalonia (Spain)

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Hong Kong 1980 projection

GDM2000 projections (EPSG: 3376, 3377, 4742)

Several other new map projections

Data Display 3D TIN Viewing – point clouds can also be viewed with a Perspective Mode or as a TIN

surface

JP2 encoded NITF – Hybrid pyramid layer scheme can be generated for faster display

LUT Stretch and Filter Galleries with real-time preview

Radar Analyst The Radar Analyst Tab has been expanded to 2 tabs to accommodate new (for 2014) and

planned functionality additions, including

On-the-fly Despeckle

Automatically suppresses radar image noise for easier visual interpretation. The enhanced

image is calculated and displayed directly into the Viewer. As the Analyst Roams or Zooms, the

image is automatically recalculated and updated to retain maximum resolution.

On-the-fly Auto Enhance / Colorize

Automatically converts the grey-scale radar image into an enhanced color image via a

combination of 3 image enhancements. The enhanced image is calculated and displayed

directly into the Viewer. As the Analyst Roams or Zooms, the image is automatically

recalculated and updated to retain maximum resolution.

On-the-fly Blue is New

Automatically performs a change detection between 2 radar images. The result is displayed as

a color image where new features (image pixels) are in blue and features that have departed

the image are in red.

Optimized Histogram Rescale

Option in level-slice Mode allows the Analyst to select a section of the original histogram to

redisplay using the full width of the plot Tool. This allows easier identification and selection of

the desired threshold value.

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ERDAS IMAGINE 2014 Release Notes 17

Incidence Angle pointer

The Incidence Angle of the radar scene acquisition is displayed on the Look Direction Tool.

CCD Time Series

IMAGINE SAR Interferometry also now provides a CCD Time Series Tool designed for

operational site monitoring. Any number of InSAR image pairs can be entered. The Tool

automatically sequences them, extracts various time-series CCD Products and displays them

into the Viewer. New data acquired subsequently can be added to the project file and

incorporated into the analysis.

New Add-on Module: IMAGINE AAIC Autonomous Atmospheric Image Correction (AAIC)

Conversion to surface reflectance for a broad range of satellite imagery

Converts spectral imagery from its native Digital Number (DN) units directly to ground material reflectance units, not just pixel radiance

Correction is fully automatic, requiring no user interaction

Can also automatically calculate a material identification raster layer

Optional add-on developed by Applied Analysis Inc. (AAI)

In ERDAS IMAGINE 2014, we took a fresh look at all of our tools to expose more functionality

while maintaining a competitive price. For some, the existing packaging was too complicated,

making it difficult to determine which features and add-ons were needed for a given job.

ERDAS IMAGINE 2014 streamlines our offering, providing greater benefit for your investment.

Added functionality in IMAGINE Essentials – The following capabilities where optional add-ons in 2013 and are now a standard part of IMAGINE Essentials 2014:

IMAGINE Easytrace – Semi-automated collection of boundaries, centerlines and ribbons

New Packaging

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IMAGINE Vector – Select functionality from the old vector module including raster to vector

conversion

Added functionality in IMAGINE Advantage – The following capabilities where either optional add-ons or part of IMAGINE Professional and are now in IMAGINE Advantage:

ImageEqualizer – Radiometric correction for aerial imagery

Radar Interpreter – Basic radar enhancement utilities

IMAGINE Expansion Pack – This new on-add combines seven powerful ERDAS IMAGINE 2013 add-on products into one module with attractive pricing that makes for simpler purchasing decisions. The prerequisite is IMAGINE Advantage. Moving forward, individual add-on parts for components in the IMAGINE Expansion Pack cannot be purchased separately. Existing customers will be grandfathered into this new configuration. The IMAGINE Expansion Pack includes the following components:

IMAGINE AutoSyncTM

– Automatic image to image registration

IMAGINE DeltaCue – Dedicated change detection from imagery

IMAGINE OrthoRadar™ – Orthorectification of radar images

IMAGINE NITF – Enhanced support for the NITF format

IMAGINE StereoSAR DEM™ – Generate terrain models from radar stereo pairs

IMAGINE VirtualGIS® – Interactive 3D visualization, analysis and fly-throughs

Stereo Analyst for IMAGINE – Collect 3D features using stereo imagery

IMAGINE Photogrammetry repackaging - The LPS 2013 products are combined into three new ERDAS IMAGINE 2014 based add-ons. The goal of the repackaging is to align the software to tasks commonly used in photogrammetric projects. Typically a few ortho and DTM production seats feed many lower cost terrain editing seats. Together they provide a complete and powerful photogrammetry system in a user-friendly environment that guarantees results even for photogrammetry novices, and increases productivity while ensuring high accuracy. Capabilities include full analytical triangulation with automated precision measurement, digital terrain model generation with stereo editing, and orthophoto production. This is an ideal photogrammetric solution for projects involving varied types of airborne and satellite imagery followed by additional downstream processing and analysis using ERDAS IMAGINE.

IMAGINE Photogrammetry (prerequisite IMAGINE Advantage or Professional) includes functionality from

LPS 2013 Core

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ERDAS IMAGINE 2014 Release Notes 19

LPS 2013 Stereo

LPS 2013 eATE - Single stereo model

IMAGINE Auto DTM (prerequisite IMAGINE Photogrammetry) includes functionality from

LPS 2013 ATE - Automatic Terrain Extraction

LPS 2013 eATE

IMAGINE Terrain Editor (prerequisite IMAGINE Essentials or higher), includes functionality from

LPS 2013 Terrain Editor

LPS 2013 Stereo