CLASSROOM APPLICATION TRAINING
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1 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 imaging_training@trimble.com 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, 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. Page 1
2 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 Installing ecognition Software activation & installation License management Loading & View Data Project setup Loading & viewing data Working with Projects & Workspaces Exercise 1 Project Setup DAY 1 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 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 Page 2
3 Topic Content Time 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 Resources for ecognition users User Guide & Reference Book The ecognition Support portal The ecognition Community Introduction to advanced features ecognition analysis strategies training Architect developing solutions Server & batch processing Template matching Point cloud viewer Course overview Q&A DAY 3 Please note that the agenda is subject to be changed. Page 3
4 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 imaging_training@trimble.com in case you have questions. Page 4
5 Agenda Topic Content Time Introduction, ecognition 9, Project Management, ecgonition Server & Architect Introduction to Trimble Geospatial The ecognition software suite 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 DAY 1 Technical Exercises, Customized Algorithms, Advanced Segmentation, Reshaping 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 Page 5
6 Topic Content Time Advanced image object reshaping Smoothing outlines Pixel-based object resizing Image Object Fusion Optional discussion of user specific examples Please note that the agenda is subject to be changed. Page 6
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