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 take a look at these short videos (3-10 min) where you learn basic steps in eCognition:
Getting Started 1 of 4: Create a project
Getting Started 2 of 4: First dynamic classification
Getting Started 3 of 4: Improve your objects
Getting Started 4 of 4: Export your results
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 eCognition tv.
Our eCognition videos explain theory, algorithm and use cases around these and more topics:
Video - Assign class by thematic layer - how to classify image objects based on a thematic layer
Video - Automatic Threshold - compute a threshold that can be used in segmentation
Video - Calculate Random Number - creates a random value feature (can be used to split samples for calibration and validation)
Video - Assign class - assign classes to image objects based on single or multiple thresholds
Video - Assign Layer Alias - learn how to assign a layer alias to an image or thematic layer
Video - Chessboard Segmentation - how Chessboard Segmentation works
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 - Create & convert & remove thematic layers - how to work with vector layers
Video - Distance Map Algorithm - calculate the distance to objects of a certain class
Video - Export Vector Layer - export objects as vectors in different formats (shp, FileGDB, Geojson)
Video - Fill pixel values - learn how to fill in raster regions and apply interpolation methods
Video - Find Domain Extrema - find minimum or maximum values for a feature in a certain area
Video - Grow Region - growing regions and objects
Video - Hillshade calculation - algorithm that applies a hillshade layer
Video - Image object fusion - learn how to grow and merge objects
Video - Index Layer Calculation - algorithm that calculates different indices (NDVI and more)
Video - Layer Arithmetics - how to calculate raster layer indices
Video - Majority Vote (Feature) - how to apply the majority vote features Majority vote area & Majority vote count
Video - Merge Region - merging regions and objects
Video - Multiresolution Segmentation - create image objects using Multiresolution Segmentation
Video - Multi-threshold segmentation - how to apply the algorithm Multi-threshold segmentation
Video - NDSM Layer Calculation - algorithm that calculates nDSM based on DSM and DTM
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 - Principal Component Analysis - learn how to apply PCA
Video - Rasterize Point Cloud - algorithm that rasterizes point clouds
Video - Remove Objects - how to remove objects
Video - Sobel operator filter - learn how to apply this filter
Video - Startrails example for arrays and variables and layer arithmetics
Video - Supervised classification - how to apply a supervised classification
Video - Thematic Layer Operation Algorithms Alterations: Buffering & Dissolve - thematic layer algorithms
Video - Thematic Layer Operation Algorithms: Create / Convert / Remove - thematic layer algorithms
Video - Unsupervised Classification - how to apply the algorithm - former cluster analysis algorithm
Video - Update Region algorithm - how to work with regions
Video - Vector Orthogonalization - algorithm that creates generalized rectangular vectors
Video - Vector-based segmentation - algorithm to create image objects based on a vector layer
Video - Watershed segmentation - explains how the watershed segmentation works
Videos for first steps using CNN :
Deep Learning 1 of 4: Introduction and Set-up
Deep Learning 2 of 4: Creating Samples
