Tutorials - Overview
The following tutorials give you an introduction on how to apply eCognition's new features to specific question formulations. All material is designed for self-study.
Audience
The contents are intended for beginners or for users familiar with eCognition who would like to learn more about building complex rule sets.
Requirements
To perform these guided tours or tutorials, you will need:
- eCognition Developer installed on a computer.
- A computer mouse is highly recommended.
- Data and/or projects and rule sets - download links available for all material.
Tutorials
Tutorials and data are available in the Library of the eCognition Knowlege-Base - they give you a basic introduction analyzing a very simple schematic image. The key concepts are the segmentation and distinction of image objects showing how to build a first rule set.
A nice start to learn eCognition is our webinar for beginners that you can find here (1h 15 min): eCognition-for-Beginners
Or these short videos (3-10 min) where you learn basic steps in eCognition: Introduction videos to eCognition
Videos
Follow our movies about various eCognition topics for beginners up to advanced users including eCognition deconstructed videos, detailed webinars and short technical support videos on eCongition tv.
eCognition deconstructed videos explain theory, algorithm and use cases around these and more topics:
Video - Multiresolution Segmentation - create image objects using Multiresolution Segmentation
Video - Chessboard Segmentation - how Chessboard Segmentation works
Video - Multi-threshold segmentation - how to apply the algorithm Multi-threshold segmentationVideo - Vector-based segmentation - how to apply the algorithm Vector-based segmentation
Video - Find Domain Extrema - find minimum or maximum values for a feature in a certain area
Video - Merge Region - merging regions and objects
Video - Grow Region - growing regions and objects
Video - Remove Objects - how to remove objects
Video - Pixel-Based Object Resizing I - how to use pixel-based object resizing part I
Video - Pixel-Based Object Resizing II - how to use pixel-based object resizing part II
Video - Layer Arithmetics - how to calculate raster layer indices
Video - Create & convert & remove thematic layers - how to work with vector layers
Video - Assign class by thematic layer - how to classify image objects based on a thematic layer
Video - Assign class by thematic layer - explains the algorithm and how to apply it
Video - Vector based segmentation - algorithm to create image objects based on a vector layer
Video - Thematic Layer Operation Algorithms: Create / Convert / Remove - thematic layer algorithms
Video - Thematic Layer Operation Algorithms Alterations: Buffering & Dissolve - thematic layer algorithms
Video - Distance Map Algorithm - calculate the distance to objects of a certain class
Video - Vector Orthogonalization - algorithm that creates generalized rectangular vectors
Video - Index Layer Calculation - algorithm that calculates different indices (NDVI and more)
Video - NDSM Layer Calculation - algorithm that calculates nDSM based on DSM and DTM
Video - Export Vector Layer - export objects as vectors in different formats (shp, FileGDB, Geojson)
Video - Rasterize Point Cloud - algorithm that rasterizes point clouds
Video - Contrast Split Segmentation - create image objects based on contrast in one layer
Video - Convert to sub-objects - split all image objects of a domain into its sub-objects
Video - Calculate Random Number - creates a random value feature (can be used to split samples for calibration and validation)
