SlideShare une entreprise Scribd logo
1  sur  5
How eCognition Server Works
Application examples ,[object Object],[object Object],[object Object],[object Object]
Automatic Production Workflows eCognition Developer eCognition Architect File System eCognition   Server Automatic Production Workflows In a typical production workflow a rule set developed on a representative area is applied over very large areas. Often an automatic tiling and stitching approach is applied allowing analysis of very large data without cutting subsets. Exported results are automatically named and stored in dedicated locations for easy further processing. The analysis process can be monitored utilizing a convenient HTML based status monitor. Using the eCognition Automation API, such workflows can be easily embedded into existing production environments.
Semi Automatic Production Workflows eCognition Developer eCognition Architect Semi Automatic Production Workflows In a semi automatic workflow, data is usually run in a first pre processing step segmenting and classifying the data. The analyzed workspace is then accessed by users of eCognition Architect for manual editing and/or calibration of further classification steps. In a second processing step, manually edited workspaces are then finalized and results are exported. eCognition Architect eCognition Server File System
Transferable Rule Set Development eCognition Server eCognition Developer Transferable rule set development Besides being applied in production workflows, eCognition ™  Server also offers great increases in productivity for development of transferable rule sets. In this setup eCognition Developer users use eCognition ™  Server to apply rule sets on large scenes or over large areas. This results in quick feedback cycles and consequently speeds up development of transferable rule sets.

Contenu connexe

Plus de Trimble Geospatial Munich

E Cognition User Summit2009 G Binnig Definiens
E Cognition User Summit2009 G Binnig DefiniensE Cognition User Summit2009 G Binnig Definiens
E Cognition User Summit2009 G Binnig DefiniensTrimble Geospatial Munich
 
E Cognition User Summit2009 M Wurm Dlr Structure Types C
E Cognition User Summit2009 M Wurm Dlr Structure Types CE Cognition User Summit2009 M Wurm Dlr Structure Types C
E Cognition User Summit2009 M Wurm Dlr Structure Types CTrimble Geospatial Munich
 
E Cognition User Summit2009 R Lucas University Wales National Vegetation Mapping
E Cognition User Summit2009 R Lucas University Wales National Vegetation MappingE Cognition User Summit2009 R Lucas University Wales National Vegetation Mapping
E Cognition User Summit2009 R Lucas University Wales National Vegetation MappingTrimble Geospatial Munich
 
E Cognition User Summit2009 Pregesbauer Geo Info Li Dar Basic Landcover
E Cognition User Summit2009 Pregesbauer Geo Info Li Dar Basic LandcoverE Cognition User Summit2009 Pregesbauer Geo Info Li Dar Basic Landcover
E Cognition User Summit2009 Pregesbauer Geo Info Li Dar Basic LandcoverTrimble Geospatial Munich
 
E Cognition User Summit2009 Pbunting University Wales Forestry
E Cognition User Summit2009 Pbunting University Wales ForestryE Cognition User Summit2009 Pbunting University Wales Forestry
E Cognition User Summit2009 Pbunting University Wales ForestryTrimble Geospatial Munich
 
E Cognition User Summit2009 Jo Neil Dunne Uvm Mapping Green Infrastructure
E Cognition User Summit2009 Jo Neil Dunne Uvm Mapping Green InfrastructureE Cognition User Summit2009 Jo Neil Dunne Uvm Mapping Green Infrastructure
E Cognition User Summit2009 Jo Neil Dunne Uvm Mapping Green InfrastructureTrimble Geospatial Munich
 
E Cognition User Summit2009 C Storch Gaf Emlc
E Cognition User Summit2009 C Storch Gaf EmlcE Cognition User Summit2009 C Storch Gaf Emlc
E Cognition User Summit2009 C Storch Gaf EmlcTrimble Geospatial Munich
 
E Cognition User Summit2009 A Tewkesbury Infoterra Semi Automated Landscape A...
E Cognition User Summit2009 A Tewkesbury Infoterra Semi Automated Landscape A...E Cognition User Summit2009 A Tewkesbury Infoterra Semi Automated Landscape A...
E Cognition User Summit2009 A Tewkesbury Infoterra Semi Automated Landscape A...Trimble Geospatial Munich
 
E Cognition User Summit2009 S Lang Zgis Object Validity
E Cognition User Summit2009 S Lang Zgis Object ValidityE Cognition User Summit2009 S Lang Zgis Object Validity
E Cognition User Summit2009 S Lang Zgis Object ValidityTrimble Geospatial Munich
 

Plus de Trimble Geospatial Munich (12)

Whats new in eCognition 8.7
Whats new in eCognition 8.7Whats new in eCognition 8.7
Whats new in eCognition 8.7
 
eCognition 8.64 Highlights
eCognition 8.64 HighlightseCognition 8.64 Highlights
eCognition 8.64 Highlights
 
E Cognition User Summit2009 G Binnig Definiens
E Cognition User Summit2009 G Binnig DefiniensE Cognition User Summit2009 G Binnig Definiens
E Cognition User Summit2009 G Binnig Definiens
 
E Cognition User Summit2009 M Wurm Dlr Structure Types C
E Cognition User Summit2009 M Wurm Dlr Structure Types CE Cognition User Summit2009 M Wurm Dlr Structure Types C
E Cognition User Summit2009 M Wurm Dlr Structure Types C
 
E Cognition User Summit2009 R Lucas University Wales National Vegetation Mapping
E Cognition User Summit2009 R Lucas University Wales National Vegetation MappingE Cognition User Summit2009 R Lucas University Wales National Vegetation Mapping
E Cognition User Summit2009 R Lucas University Wales National Vegetation Mapping
 
E Cognition User Summit2009 Pregesbauer Geo Info Li Dar Basic Landcover
E Cognition User Summit2009 Pregesbauer Geo Info Li Dar Basic LandcoverE Cognition User Summit2009 Pregesbauer Geo Info Li Dar Basic Landcover
E Cognition User Summit2009 Pregesbauer Geo Info Li Dar Basic Landcover
 
E Cognition User Summit2009 Pbunting University Wales Forestry
E Cognition User Summit2009 Pbunting University Wales ForestryE Cognition User Summit2009 Pbunting University Wales Forestry
E Cognition User Summit2009 Pbunting University Wales Forestry
 
E Cognition User Summit2009 Jo Neil Dunne Uvm Mapping Green Infrastructure
E Cognition User Summit2009 Jo Neil Dunne Uvm Mapping Green InfrastructureE Cognition User Summit2009 Jo Neil Dunne Uvm Mapping Green Infrastructure
E Cognition User Summit2009 Jo Neil Dunne Uvm Mapping Green Infrastructure
 
E Cognition User Summit2009 C Storch Gaf Emlc
E Cognition User Summit2009 C Storch Gaf EmlcE Cognition User Summit2009 C Storch Gaf Emlc
E Cognition User Summit2009 C Storch Gaf Emlc
 
E Cognition User Summit2009 A Tewkesbury Infoterra Semi Automated Landscape A...
E Cognition User Summit2009 A Tewkesbury Infoterra Semi Automated Landscape A...E Cognition User Summit2009 A Tewkesbury Infoterra Semi Automated Landscape A...
E Cognition User Summit2009 A Tewkesbury Infoterra Semi Automated Landscape A...
 
E Cognition User Summit2009 S Lang Zgis Object Validity
E Cognition User Summit2009 S Lang Zgis Object ValidityE Cognition User Summit2009 S Lang Zgis Object Validity
E Cognition User Summit2009 S Lang Zgis Object Validity
 
eCognition 8 Highlights
eCognition 8 HighlightseCognition 8 Highlights
eCognition 8 Highlights
 

Dernier

2024 May Patch Tuesday
2024 May Patch Tuesday2024 May Patch Tuesday
2024 May Patch TuesdayIvanti
 
Introduction to FDO and How It works Applications _ Richard at FIDO Alliance.pdf
Introduction to FDO and How It works Applications _ Richard at FIDO Alliance.pdfIntroduction to FDO and How It works Applications _ Richard at FIDO Alliance.pdf
Introduction to FDO and How It works Applications _ Richard at FIDO Alliance.pdfFIDO Alliance
 
WebRTC and SIP not just audio and video @ OpenSIPS 2024
WebRTC and SIP not just audio and video @ OpenSIPS 2024WebRTC and SIP not just audio and video @ OpenSIPS 2024
WebRTC and SIP not just audio and video @ OpenSIPS 2024Lorenzo Miniero
 
Event-Driven Architecture Masterclass: Engineering a Robust, High-performance...
Event-Driven Architecture Masterclass: Engineering a Robust, High-performance...Event-Driven Architecture Masterclass: Engineering a Robust, High-performance...
Event-Driven Architecture Masterclass: Engineering a Robust, High-performance...ScyllaDB
 
Harnessing Passkeys in the Battle Against AI-Powered Cyber Threats.pptx
Harnessing Passkeys in the Battle Against AI-Powered Cyber Threats.pptxHarnessing Passkeys in the Battle Against AI-Powered Cyber Threats.pptx
Harnessing Passkeys in the Battle Against AI-Powered Cyber Threats.pptxFIDO Alliance
 
How we scaled to 80K users by doing nothing!.pdf
How we scaled to 80K users by doing nothing!.pdfHow we scaled to 80K users by doing nothing!.pdf
How we scaled to 80K users by doing nothing!.pdfSrushith Repakula
 
TEST BANK For, Information Technology Project Management 9th Edition Kathy Sc...
TEST BANK For, Information Technology Project Management 9th Edition Kathy Sc...TEST BANK For, Information Technology Project Management 9th Edition Kathy Sc...
TEST BANK For, Information Technology Project Management 9th Edition Kathy Sc...marcuskenyatta275
 
Intro in Product Management - Коротко про професію продакт менеджера
Intro in Product Management - Коротко про професію продакт менеджераIntro in Product Management - Коротко про професію продакт менеджера
Intro in Product Management - Коротко про професію продакт менеджераMark Opanasiuk
 
1111 ChatGPT Prompts PDF Free Download - Prompts for ChatGPT
1111 ChatGPT Prompts PDF Free Download - Prompts for ChatGPT1111 ChatGPT Prompts PDF Free Download - Prompts for ChatGPT
1111 ChatGPT Prompts PDF Free Download - Prompts for ChatGPTiSEO AI
 
ERP Contender Series: Acumatica vs. Sage Intacct
ERP Contender Series: Acumatica vs. Sage IntacctERP Contender Series: Acumatica vs. Sage Intacct
ERP Contender Series: Acumatica vs. Sage IntacctBrainSell Technologies
 
TopCryptoSupers 12thReport OrionX May2024
TopCryptoSupers 12thReport OrionX May2024TopCryptoSupers 12thReport OrionX May2024
TopCryptoSupers 12thReport OrionX May2024Stephen Perrenod
 
Human Expert Website Manual WCAG 2.0 2.1 2.2 Audit - Digital Accessibility Au...
Human Expert Website Manual WCAG 2.0 2.1 2.2 Audit - Digital Accessibility Au...Human Expert Website Manual WCAG 2.0 2.1 2.2 Audit - Digital Accessibility Au...
Human Expert Website Manual WCAG 2.0 2.1 2.2 Audit - Digital Accessibility Au...Skynet Technologies
 
Your enemies use GenAI too - staying ahead of fraud with Neo4j
Your enemies use GenAI too - staying ahead of fraud with Neo4jYour enemies use GenAI too - staying ahead of fraud with Neo4j
Your enemies use GenAI too - staying ahead of fraud with Neo4jNeo4j
 
Event-Driven Architecture Masterclass: Integrating Distributed Data Stores Ac...
Event-Driven Architecture Masterclass: Integrating Distributed Data Stores Ac...Event-Driven Architecture Masterclass: Integrating Distributed Data Stores Ac...
Event-Driven Architecture Masterclass: Integrating Distributed Data Stores Ac...ScyllaDB
 
The Metaverse: Are We There Yet?
The  Metaverse:    Are   We  There  Yet?The  Metaverse:    Are   We  There  Yet?
The Metaverse: Are We There Yet?Mark Billinghurst
 
Using IESVE for Room Loads Analysis - UK & Ireland
Using IESVE for Room Loads Analysis - UK & IrelandUsing IESVE for Room Loads Analysis - UK & Ireland
Using IESVE for Room Loads Analysis - UK & IrelandIES VE
 
Long journey of Ruby Standard library at RubyKaigi 2024
Long journey of Ruby Standard library at RubyKaigi 2024Long journey of Ruby Standard library at RubyKaigi 2024
Long journey of Ruby Standard library at RubyKaigi 2024Hiroshi SHIBATA
 
Design Guidelines for Passkeys 2024.pptx
Design Guidelines for Passkeys 2024.pptxDesign Guidelines for Passkeys 2024.pptx
Design Guidelines for Passkeys 2024.pptxFIDO Alliance
 
Linux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdf
Linux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdfLinux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdf
Linux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdfFIDO Alliance
 
Working together SRE & Platform Engineering
Working together SRE & Platform EngineeringWorking together SRE & Platform Engineering
Working together SRE & Platform EngineeringMarcus Vechiato
 

Dernier (20)

2024 May Patch Tuesday
2024 May Patch Tuesday2024 May Patch Tuesday
2024 May Patch Tuesday
 
Introduction to FDO and How It works Applications _ Richard at FIDO Alliance.pdf
Introduction to FDO and How It works Applications _ Richard at FIDO Alliance.pdfIntroduction to FDO and How It works Applications _ Richard at FIDO Alliance.pdf
Introduction to FDO and How It works Applications _ Richard at FIDO Alliance.pdf
 
WebRTC and SIP not just audio and video @ OpenSIPS 2024
WebRTC and SIP not just audio and video @ OpenSIPS 2024WebRTC and SIP not just audio and video @ OpenSIPS 2024
WebRTC and SIP not just audio and video @ OpenSIPS 2024
 
Event-Driven Architecture Masterclass: Engineering a Robust, High-performance...
Event-Driven Architecture Masterclass: Engineering a Robust, High-performance...Event-Driven Architecture Masterclass: Engineering a Robust, High-performance...
Event-Driven Architecture Masterclass: Engineering a Robust, High-performance...
 
Harnessing Passkeys in the Battle Against AI-Powered Cyber Threats.pptx
Harnessing Passkeys in the Battle Against AI-Powered Cyber Threats.pptxHarnessing Passkeys in the Battle Against AI-Powered Cyber Threats.pptx
Harnessing Passkeys in the Battle Against AI-Powered Cyber Threats.pptx
 
How we scaled to 80K users by doing nothing!.pdf
How we scaled to 80K users by doing nothing!.pdfHow we scaled to 80K users by doing nothing!.pdf
How we scaled to 80K users by doing nothing!.pdf
 
TEST BANK For, Information Technology Project Management 9th Edition Kathy Sc...
TEST BANK For, Information Technology Project Management 9th Edition Kathy Sc...TEST BANK For, Information Technology Project Management 9th Edition Kathy Sc...
TEST BANK For, Information Technology Project Management 9th Edition Kathy Sc...
 
Intro in Product Management - Коротко про професію продакт менеджера
Intro in Product Management - Коротко про професію продакт менеджераIntro in Product Management - Коротко про професію продакт менеджера
Intro in Product Management - Коротко про професію продакт менеджера
 
1111 ChatGPT Prompts PDF Free Download - Prompts for ChatGPT
1111 ChatGPT Prompts PDF Free Download - Prompts for ChatGPT1111 ChatGPT Prompts PDF Free Download - Prompts for ChatGPT
1111 ChatGPT Prompts PDF Free Download - Prompts for ChatGPT
 
ERP Contender Series: Acumatica vs. Sage Intacct
ERP Contender Series: Acumatica vs. Sage IntacctERP Contender Series: Acumatica vs. Sage Intacct
ERP Contender Series: Acumatica vs. Sage Intacct
 
TopCryptoSupers 12thReport OrionX May2024
TopCryptoSupers 12thReport OrionX May2024TopCryptoSupers 12thReport OrionX May2024
TopCryptoSupers 12thReport OrionX May2024
 
Human Expert Website Manual WCAG 2.0 2.1 2.2 Audit - Digital Accessibility Au...
Human Expert Website Manual WCAG 2.0 2.1 2.2 Audit - Digital Accessibility Au...Human Expert Website Manual WCAG 2.0 2.1 2.2 Audit - Digital Accessibility Au...
Human Expert Website Manual WCAG 2.0 2.1 2.2 Audit - Digital Accessibility Au...
 
Your enemies use GenAI too - staying ahead of fraud with Neo4j
Your enemies use GenAI too - staying ahead of fraud with Neo4jYour enemies use GenAI too - staying ahead of fraud with Neo4j
Your enemies use GenAI too - staying ahead of fraud with Neo4j
 
Event-Driven Architecture Masterclass: Integrating Distributed Data Stores Ac...
Event-Driven Architecture Masterclass: Integrating Distributed Data Stores Ac...Event-Driven Architecture Masterclass: Integrating Distributed Data Stores Ac...
Event-Driven Architecture Masterclass: Integrating Distributed Data Stores Ac...
 
The Metaverse: Are We There Yet?
The  Metaverse:    Are   We  There  Yet?The  Metaverse:    Are   We  There  Yet?
The Metaverse: Are We There Yet?
 
Using IESVE for Room Loads Analysis - UK & Ireland
Using IESVE for Room Loads Analysis - UK & IrelandUsing IESVE for Room Loads Analysis - UK & Ireland
Using IESVE for Room Loads Analysis - UK & Ireland
 
Long journey of Ruby Standard library at RubyKaigi 2024
Long journey of Ruby Standard library at RubyKaigi 2024Long journey of Ruby Standard library at RubyKaigi 2024
Long journey of Ruby Standard library at RubyKaigi 2024
 
Design Guidelines for Passkeys 2024.pptx
Design Guidelines for Passkeys 2024.pptxDesign Guidelines for Passkeys 2024.pptx
Design Guidelines for Passkeys 2024.pptx
 
Linux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdf
Linux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdfLinux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdf
Linux Foundation Edge _ Overview of FDO Software Components _ Randy at Intel.pdf
 
Working together SRE & Platform Engineering
Working together SRE & Platform EngineeringWorking together SRE & Platform Engineering
Working together SRE & Platform Engineering
 

How eCognition Server Works

  • 2.
  • 3. Automatic Production Workflows eCognition Developer eCognition Architect File System eCognition Server Automatic Production Workflows In a typical production workflow a rule set developed on a representative area is applied over very large areas. Often an automatic tiling and stitching approach is applied allowing analysis of very large data without cutting subsets. Exported results are automatically named and stored in dedicated locations for easy further processing. The analysis process can be monitored utilizing a convenient HTML based status monitor. Using the eCognition Automation API, such workflows can be easily embedded into existing production environments.
  • 4. Semi Automatic Production Workflows eCognition Developer eCognition Architect Semi Automatic Production Workflows In a semi automatic workflow, data is usually run in a first pre processing step segmenting and classifying the data. The analyzed workspace is then accessed by users of eCognition Architect for manual editing and/or calibration of further classification steps. In a second processing step, manually edited workspaces are then finalized and results are exported. eCognition Architect eCognition Server File System
  • 5. Transferable Rule Set Development eCognition Server eCognition Developer Transferable rule set development Besides being applied in production workflows, eCognition ™ Server also offers great increases in productivity for development of transferable rule sets. In this setup eCognition Developer users use eCognition ™ Server to apply rule sets on large scenes or over large areas. This results in quick feedback cycles and consequently speeds up development of transferable rule sets.