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 for first steps using Deep Learning - Convolutional neural networks - CNN :
Deep Learning 1 of 4: Introduction and Set-up
Deep Learning 2 of 4: Creating Samples
Deep Learning 3 of 4: Create / Train / Save CNN
Deep Learning 4 of 4: Apply CNN with OBIA
Load convolutional neural network - load external CNN model
Apply instance segmentation - external instance segmentation model
Videos and Webinars
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:
Accuracy Assessment workflow - introduction to accuracy assessment
Assign class by thematic layer - how to classify image objects based on a thematic layer
Apply instance segmentation - Deep Learning - how to apply an external Instance Segmentation model
Automatic Threshold - compute a threshold that can be used in segmentation
Assign class - assign classes to image objects based on single or multiple thresholds
Assign Layer Alias - learn how to assign a layer alias to an image or thematic layer
Batch processing with eCognition - Batch processing using eCognition developer and server
Calculate Random Number - creates a random value feature (can be used to split samples for calibration and validation)
Change Detection using multi-temporal NDVI - apply a NDVI change detection classification
Change Detection with Maps - use maps to perform a change detection
Chessboard Segmentation - how Chessboard Segmentation works
Compute statistical value - how to perform a statistical operation on the feature distribution within a domain and stores the result in a process variable operations
Contrast Split Segmentation - create image objects based on contrast in one layer
Convert to sub-objects - split all image objects of a domain into its sub-objects
Create & convert & remove thematic layers - how to work with vector layers
Customized Import - how to create customized import routines
Delete layer - how to delete image layers, point clouds & vectors from your project - usage of 'delete layer algorithm'
Distance Map Algorithm - calculate the distance to objects of a certain class
DSM, DTM & nDSM - how to create elevation information in eCognition
Export Vector Layer - export objects as vectors in different formats (shp, FileGDB, Geojson)
Fill pixel values - learn how to fill in raster regions and apply interpolation methods
Find Domain Extrema - find minimum or maximum values for a feature in a certain area
Grow Region - growing regions and objects
Hillshade calculation - algorithm that applies a hillshade layer
Image object fusion - learn how to grow and merge objects
Index Layer Calculation - algorithm that calculates different indices (NDVI and more)
Layer Arithmetics - how to calculate raster layer indices
Load convolutional neural network - Deep Learning - how to load an external CNN model
Majority Vote (Feature) - how to apply the majority vote features Majority vote area & Majority vote count
Median filter - how to filter raster images and create a new temporary raster layer
Merge Region - merging regions and objects
Morphology - how to use the 'morphology algorithm' to smooth image objects by pixel-based opening or closing operations
Multiresolution Segmentation - create image objects using Multiresolution Segmentation
Multi-threshold segmentation - how to apply the algorithm Multi-threshold segmentation
NDSM Layer Calculation - algorithm that calculates nDSM based on DSM and DTM
Pixel-Based Object Resizing I - how to use pixel-based object resizing part I
Pixel-Based Object Resizing II - how to use pixel-based object resizing part II
Principal Component Analysis - learn how to apply PCA
Rasterize Point Cloud - algorithm that rasterizes point clouds
Remove Objects - how to remove objects
Sobel operator filter - learn how to apply this filter
Startrails example for arrays and variables and layer arithmetics
Supervised classification - how to apply a supervised classification
Thematic Layer Operation Algorithms Alterations: Buffering & Dissolve - thematic layer algorithms
Thematic Layer Operation Algorithms: Create / Convert / Remove - thematic layer algorithms
Unsupervised Classification - how to apply the algorithm - former cluster analysis algorithm
Update Region algorithm - how to work with regions
Vector Orthogonalization - algorithm that creates generalized rectangular vectors
Vector-based segmentation - algorithm to create image objects based on a vector layer
Watershed segmentation - explains how the watershed segmentation works
Working with Regions - how to use the region concept
Working with IOL hierarchies - image object levels and their application
The following webinars explain eCognition and applications in more detail:
See also our 'Oldies but Goldies' videos:
| OBIA made easy |
| eCognition Introduction |
| eCognition Essentials Introduction |
| Pixels are not the answer |
| Benefits of rule sets within eCognition Developer |
