CLASSROOM APPLICATION TRAINING January 2014

Training Overview and Agenda Overview: Trimble eCognition – fundamentals This application training will introduce attendees to the fundamental, core theoretical and technical concepts of the eCognition software, including project setup, segmentation, classification and other essential processing procedures required for the generation of results.

Course Duration 3 days

Class Objectives  

Conceptual understanding of the Trimble eCognition software suite and potential application fields Gain a theoretical and technical understanding of object-based image analysis within Trimble eCognition and how to apply these concepts



Capability to create an image analysis workflow and understands when and how to use specific tool to achieve the desired results

Who Should Attend? This application training is intended for novice eCognition users or customers looking to refresh their knowledge base in the core functionality and features of the Trimble eCognition software.

Prerequisites Each participant should have a basic understanding of remote sensing and GIS before attending this class. Attendees should bring a laptop that meets the eCognition system requirements:  Intel x86_64 hardware platform (64 bit)  Microsoft Windows 7 Professional or Windows 8.1 (not MS Windows 8)  At least 4 GB RAM Licenses, software and training datasets will be provided on site for the duration of the training. Please contact [email protected] in case you have questions.

This document is for informational purposes only and is not a legally binding agreement or offer. Trimble makes no warranties and assumes no obligations or liabilities hereunder. Trimble Navigation Limited, 10368 Westmoor Drive, Westminster, CO 80021, USA © 2014, Trimble Navigation Limited. All rights reserved. Trimble, the Globe & Triangle logo are trademarks of Trimble Navigation Limited, registered in the United States and in other countries. All other trademarks are the property of their respective owners.

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Agenda Topic

Content

Time

Introduction, Object-Based Image Analysis Overview, Installation, Project Setup & Image Analysis in eCognition

Introduction to Trimble Geospatial  The eCognition software suite  What’s new in eCognition 9  Object-based Image Analysis

DAY 1

Installing eCognition  Software activation & installation  License management Loading & View Data  Project setup  Loading & viewing data  Working with Projects & Workspaces Exercise 1 – Project Setup

Summary Technical Exercises, Segmentation & Classification Techniques, Data Fusion

Image Analysis in eCognition  Introduction to analysis tools & processes  Image segmentation  Classification techniques  Working with existing projects Exercise 2 – feature extraction (part I)  Segmentation  Classification Review of days lessons – Q&A Exercise 2 – feature extraction (part II)  Object refinement  Export results

DAY 2

Exercise 3 – Classification techniques  Combining segmentations  Nearest neighbor classification Exercise 4 – urban change detection (part I)  Working with thematic layers

Summary

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Review of days lessons – Q&A

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Topic

Content

Technical Exercises, Data Fusion (cont.), eCognition Resources, Introduction to Advanced Topics

Exercise 4 – urban change detection (part II)  Vector handling  Object reshaping techniques  GIS-ready results

Technical Exercises, Data Fusion (cont.), eCognition Resources, Introduction to Advanced Topics Summary

Resources for eCognition users  User Guide & Reference Book  The eCognition Support portal  The eCognition Community

Time

DAY 3

Introduction to advanced features  eCognition – analysis strategies training  Architect – developing solutions  Server & batch processing  Template matching Point cloud viewer 

Course overview – Q&A

Please note that the agenda is subject to be changed.

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Training Overview and Agenda Overview: Trimble eCognition – analysis strategies This application training will provide attendees with technical exercises demonstrating techniques to improve eCognition workflow strategies, including optimized project management, batch processing practices, customized algorithms and advanced segmentation techniques. Furthermore, attendees will be given an overview of new functionalities and tools available in eCognition 9.

Course Duration 2 days

Class Objectives 

Understanding of new developments in eCognition 9



Gain a theoretical and practical understanding of image analysis techniques that can improve operational workflows



Capability to create customized algorithms and works with eCognition Server

Who Should Attend? This application training is intended for eCognition users already familiar with the core features and capabilities of the software looking to increase their proficiency and operational capacity and/or efficiency.

Prerequisites Each participant should have a solid understanding of remote sensing and GIS before attending this class. In addition, attendees will have experience working with eCognition or have taken part in the eCognition – fundamentals training course. Attendees should bring a laptop that meets the eCognition system requirements:  Intel x86_64 hardware platform (64 bit)  Microsoft Windows 7 Professional or Windows 8.1 (not MS Windows 8)  At least 4 GB RAM Licenses, software and training datasets will be provided on site for the duration of the training. Please contact [email protected] in case you have questions.

www.trimble.com

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Agenda Topic

Content

Time

Introduction, eCognition 9, Project Management, eCgonition Server & Architect

Introduction to Trimble Geospatial  The eCognition software suite

DAY 1

What’s new in eCognition 9?  Licensing changes  Exercise - Template matching  Exercise – native vector handling  Demo – Point cloud viewer Project Management  Project planning  Intelligent workflows  Exercise – Customized Import Server – batch processing  Using eCognition Server  Exercise – batch processing Architect Solutions  Review  Solution Demo Summary Technical Exercises, Customized Algorithms, Advanced Segmentation, Reshaping

Review of days lessons – Q&A Working with Maps  What are Maps & what are they good for?  Exercise – working with Maps Distances in eCognition  Feature distances  Distance map

DAY 2

Customized Algorithms  Creation, management & sharing  Working with tabs & sub-processes Advanced Segmentation  What is “advanced” segmentation?  Customized segmentation techniques  Exercises – compare segmentation techniques

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Topic

Content

Time

Advanced image object reshaping  Smoothing outlines  Pixel-based object resizing  Image Object Fusion Summary

Review of days lessons – Q&A Optional discussion of user specific examples

Please note that the agenda is subject to be changed.

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