<p>This is a tutorial for object-based image classification using eCognition.</p>
<h2 id="course-manual">Course Manual</h2>
<p>The Object-oriented course manual covers each of the 8 online units as an Adobe PDF.</p>
<h2 id="object-oriented-manual-download">Object-Oriented Manual Download</h2>
<ul>
<li><a target='_blank' rel='noopener noreferrer'  href="http://wetlands.io/tutorials/#ecognition">Download the Object Oriented Manual</a> (5.46 MB)</li>
</ul>
<h2 id="course-data">Course Data</h2>
<p>The Object-oriented course data has been compressed for faster download.</p>
<h2 id="object-oriented-data-download">Object-Oriented Data Download</h2>
<ul>
<li><a target='_blank' rel='noopener noreferrer'  href="http://wetlands.io/tutorials/#ecognition">Download Unit 1</a> (~200 MB) Definiens Introduction</li>
<li><a target='_blank' rel='noopener noreferrer'  href="http://wetlands.io/tutorials/#ecognition">Download Unit 2</a> (~280 MB) Image Segmentation</li>
<li><a target='_blank' rel='noopener noreferrer'  href="http://wetlands.io/tutorials/#ecognition">Download Unit 3</a> (56 KB) Nearest Neighbour Classification</li>
<li><a target='_blank' rel='noopener noreferrer'  href="http://wetlands.io/tutorials/#ecognition">Download Unit 4</a> (~280 MB) Rule Based Classification</li>
<li><a target='_blank' rel='noopener noreferrer'  href="http://wetlands.io/tutorials/#ecognition">Download Unit 5</a> (4.0 KB) Threshold Identification</li>
<li><a target='_blank' rel='noopener noreferrer'  href="http://wetlands.io/tutorials/#ecognition">Download Unit 6</a> (8.0 KB) Working with Levels</li>
<li><a target='_blank' rel='noopener noreferrer'  href="http://wetlands.io/tutorials/#ecognition">Download Unit 7</a> (~280 MB) Putting It All Together</li>
<li><a target='_blank' rel='noopener noreferrer'  href="http://wetlands.io/tutorials/#ecognition">Download Unit 8</a> (210 MB) Calculating Image Thresholds</li>
<li><a target='_blank' rel='noopener noreferrer'  href="http://wetlands.io/tutorials/#ecognition">Download Unit 9</a> (31.3 MB) Using Fuzzy Membership Functions</li>
</ul>


This is a tutorial for object-based image classification using eCognition.

## Course Manual
The Object-oriented course manual covers each of the 8 online units as an Adobe PDF.

## Object-Oriented Manual Download
* [Download the Object Oriented Manual](http://wetlands.io/tutorials/#ecognition) (5.46 MB)

## Course Data
The Object-oriented course data has been compressed for faster download.

## Object-Oriented Data Download

* [Download Unit 1](http://wetlands.io/tutorials/#ecognition) (~200 MB) Definiens Introduction
* [Download Unit 2](http://wetlands.io/tutorials/#ecognition) (~280 MB) Image Segmentation
* [Download Unit 3](http://wetlands.io/tutorials/#ecognition) (56 KB) Nearest Neighbour Classification
* [Download Unit 4](http://wetlands.io/tutorials/#ecognition) (~280 MB) Rule Based Classification
* [Download Unit 5](http://wetlands.io/tutorials/#ecognition) (4.0 KB) Threshold Identification
* [Download Unit 6](http://wetlands.io/tutorials/#ecognition) (8.0 KB) Working with Levels
* [Download Unit 7](http://wetlands.io/tutorials/#ecognition) (~280 MB) Putting It All Together
* [Download Unit 8](http://wetlands.io/tutorials/#ecognition) (210 MB) Calculating Image Thresholds
* [Download Unit 9](http://wetlands.io/tutorials/#ecognition) (31.3 MB) Using Fuzzy Membership Functions

eCognition Tutorials

Geospatial Data Science | Open Source | Python | Google Earth Engine | AWS


Dr. Qiusheng Wu | University of Tennessee, Knoxville 

Open Geospatial Solutions

Open Geospatial Solutions

eCognition Tutorials

Course Manual

Object-Oriented Manual Download

Course Data

Object-Oriented Data Download