what's new in ecognition 9 - infoserve.co.jp · ecognition suite offers three different...
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What's New in eCognition 9
Christian Weise | Product Manager
APRIL 2016
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Introduction
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Background
eCognition® Suite
� Advanced analysis software and development environment available for geospatial applications
� Enables users to create feature extraction or change detections solutions to transform geospatial data into geo-information
Image Data
Elevation Data
Land Cover Map
Impervious Map
Tree Map
Real World
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Overview
� eCognition Suite offers three different components which
can be used stand-alone or in combination to cover even
the most challenging fully automatic and semi-automated
production workflows
eCognition
Developer
eCognition
Developer
eCognition
Server
eCognition
Architect
eCognition
Server
eCognition
Architect
eCognition
Architect
− eCognition Developer:
development & analysis
environment for applications
− eCognition Architect:
front-end for applications
created in Developer
− eCognition Server:
processing environment
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Use Cases
EXTRACT INFORMATION
UPDATE INFORMATION
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Unique Features
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Geospatial Data Fusion
– Fuse and use a variety of geospatial
data, such as images, point clouds
and GIS vectors � Use the full
information potential of your data
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Dynamic Analysis
Raster
Vector
Point
cloud
GIS AnalyticsSegmentation Classification
Input Raster
Vector
Point
cloud
Result
Report
Abstraction
Controlled with RuleSetCombines analysis
steps Segmentation,
Classification, Object
Manipulation, and GIS
Analytics dynamically
�Unique approach to
translate your mind
model (why you see
something in the data)
into computer
understandable code
(eCognition Solution
[Rule Set])
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Highlights in Version 9.2
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eCognition 9.2 Highlights
� Extended Multi-Core processing
capabilities for faster project
completion
� Advanced Data Support to
reduce time taken in converting
and loading data
Extended
Multi-Core
processing
capabilities
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Extended Multi-Core processing capabilities
� Further multi-core enhancements in
eCognition 9.2 allow users to utilize up to
8 CPU cores with selected functions that
typically require longer processing times:
– Multi-Core powered Multiresolution
Segmentation
– Multi-Core powered Template Matching
– Multi-Core powered Feature Calculations
� The new multi-core capabilities maximize
the power of computing hardware,
reduce processing bottlenecks and allow
users to complete projects in up to a third
of the time taken with prior versions 50 100 150 200 megapixel
500
1000
1500
2000
2500
3000
seconds
1 core
4 cores
8 cores
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Advanced Data Support
� Reduced time taken in converting and loading data -
eCognition 9.2 includes a new driver for a faster import
of JPEG2000 files and now supports the usage of
MrSID image data. Furthermore a new point cloud
driver allows the usages of compressed point clouds in
the LASzip format.
� Direct access to latest image and point cloud
compression technology
� Offers faster turnaround times for projects using the
newest set of earth observation sensors
JP2
SID
LAZ
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Highlights in Version 9.1
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eCognition 9.1 Highlights
� Performance improvements, significantly reducing processing time
� Better utilization of GIS-Data in image analysis workflows
� Improved mapping capabilities for robust and accurate classification results
� Packaging and installation of customized eCognition applications
� Enhanced mobile mapping support for Trimble MX2 systems
Application
Packaging
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Performance Improvement
� Feature:Multi-core support in “Multiresolution Segmentation”
� Background:– “Multiresolution Segmentation” is the first and most successful object
creation technique in the remote sensing market & the most time-consuming process of an typical eCognition analysis (~45% of the overall processing time)
– General trend in CPU development has moved from dual-core to quad-or hex-core chips - parallel programming techniques can benefit from multiple cores directly
� Benefits:– Performance improvements of up to 50% during object creation
freeing time to focus on the interpretation of results and decision making
– Reduced overall processing time allowing users to faster produce results
– Utilize the power of current desktop systems by using up to 4 CPU cores
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Performance Improvement
35% 34% 34% 34%
47%48%
44%47%
0%
5%
10%
15%
20%
25%
30%
35%
40%
45%
50%
225.000.000 (15k x 15k) 400.000.000 (20k x 20k) 625.000.000 (25k x 25k) 900.000.000 (30k x 30k)
Pe
rfo
rma
nce
In
cre
ase
[%
]
Scene Size [pxl]
Performance increase with 2 cpu cores Performance increase with 4 cpu cores
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Better Utilization of GIS-Data
� Feature:
New integrated GIS-techniques to inspect and analyze vector
data, this includes:
– Buffering
– Conversions
– Distance calculations
� Benefits:
– Supports the dynamic combination of image and GIS
analysis capabilities on a high level of automation which
help reducing project turnaround times
– Further bridging the gap between GIS and Remote Sensing
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Improved Mapping Capabilities
� Feature:
Load, save and use sample statistics
� Background:
– Supervised learning algorithms analyzes spectral signatures obtained from sample areas and produces an classification model, which will be used for mapping (1 convert pixel data into thematic information)
– Samples represent the class examples and can be stored in GIS layers to save time if users want to re-do or to modify the selection
– Problem is that new sample locations have to be selected for every new data set, because (beside atmospheric and spectral effects) they could not covered by the new scene(s)
� Benefits:
– Extend and transfer sample statistics for classifications make a re-selection of sample areas superfluous and allowing users to faster produce results
– Combine sample statistics from different scenes offers the creation of transferable classification models which produce robust and accurate results
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Other new features included
� Features:
1. Packaging and installation of
customized eCognition
applications
� Benefits:
1. Allows an easier roll out and
commercialization of eCognition-based
applications
2. Enhanced mobile mapping support for Trimble MX2 systems
2. Allow creation of mapping solution based on Trimble MX2 systems
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Other new features included
� License Borrowing
� Customer Feedback Program
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Highlights in Version 9.0
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eCognition 9.0 Highlights
� Native Vector HandlingExtend OBIA with GIS operations
� Template MatchingExtend OBIA with computer vision based Object
Detection
� Point Cloud ViewerIncrease the productivity of creating Rule Sets
� JPEG2000 SupportIntegrate JPEG2000 images in OBIA Workflows
� Trusted StorageFlexible License Management
Trusted
Storage
Template
Matching
Point
Cloud
Viewer
JPEG
2000
Native
Vector
Handling
and
more
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Native Vector Handling
Efficient GIS data management inside eCognition, this includes
� Functions to visualize and inspect GIS vector data
� Common used GIS operations
� Algorithms to update and export GIS vectors
This improved integration of GIS techniques into Remote Sensing workflows is further bridging the gap between the two domains
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Native Vector Handling
� Visualize and inspect
GIS vector layer (1)
� No Rasterization
� No Pixel Snapping
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Native Vector Handling
� Visualize and inspect GIS vector layer (2)
– ‘Edit Vector Layer Mixing’ dialog
– Vector related Features
+
+
+
+
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Native Vector Handling
� Manipulate Vector Data (1)
– Combine GIS vector layers
– Simplify/Smooth GIS vector layers
Union Subtract Intersect DifferenceInput
Input
Simplified
Smoothed
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Native Vector Handling
� Manipulate Vector Data (2)
– Orthogonalize GIS data layers
i.e. Reshape Building Objects
– Integrate GIS data layers
i.e. Combine Input/Result Layers
– Create GIS data layers
i.e. Convert OBIA-Results into
Vector Layers
– Update GIS data layers
i.e. Write Results back in Databases
+ +
++
+
+
+
+
+ +
++FileGDB
+
+
+
++
+
+
+
++++++++++
++++++
++++++++++++
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Template Matching
� Extends the existing eCognition classification methods with computer vision based object detection, this includes
– GUI to collect Samples
– GUI to create and evaluate Templates
– Algorithm to execute Template Matching
� Provides additional value remote sensing experts by improving classification results and extending eCognition to new fields of use
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Template Matching
� Template Matching Algorithm� algorithm to execute matching procedure
� If standard deviation of the template image compared to the source image is small
enough, template matching may be used
� Templates are most often used to identify printed characters, numbers, and other
small objects (i.e. Trees)
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Template Matching
� Template Editor (Template Generation)
– Functions to define
and select Samples
– Functions to create
Template(s)
– Functions to test
Template(s) and
generate additional
Samples
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Point Cloud Viewer
� Visualize Point Clouds for an easier and better data and result assessment
– Functions to render points by classification, intensity, RGB values
– Functions to define class colors
� This can significantly increase the productivity of creating rule sets as well as improving the classification quality
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Trusted Storage
License handling based on files is replaced with Trusted Storage� Secure environment for license management
� Online license activation and re-hosting
� VM support
Provides a Flexible eCognition License Management
Return
License
Activation
Entitlement ID
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Summary
JPEG2000
Conversion
Analyze
• GIS Vectors
• Classified Points
• Statistics
MapInspect
• Fusion
• Interpretation
• Generalize Results
• Combine Results
• Create Maps
3rd Party
Tools
3rd Party
Tools
View PCs Check PCs
3rd Party
Tools
CV based
Object Detection
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Ordering, Availability, and Resources
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Ordering, Availability, and Resources
eCognition Suite 9.2
� Release Date: 13 April 2016
� Who´s eligible?
All users with a valid maintenance contract as of April 13th, 2016
� The software is available in the Customer Download Area: http://www.trimble.com/imaging/downloads
� Get the Free Trial and learn more about Trimble eCognition on http://www.eCognition.com
� Visit the eCognition Community (more than 12.000 users) to ask questions, follow discussions, download guided tours, and give feedback on http://www.eCognition.com/community
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