Remote Sensing and GIS Application: Image Classification Tutorial

remote sensing and gis application n.w
1 / 6
Embed
Share

Explore the world of image classification in remote sensing and GIS with Lecturer Ruba Yousif Hussain. Learn about unsupervised and supervised classification methods, along with practical applications using ArcGIS software. Follow step-by-step instructions for classifying pixels and identifying features based on spectral values. Enhance your skills in spatial analysis and map document creation for various land cover classes.

  • Remote Sensing
  • GIS Application
  • Image Classification
  • ArcGIS
  • Ruba Yousif Hussain

Uploaded on | 0 Views


Download Presentation

Please find below an Image/Link to download the presentation.

The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author. If you encounter any issues during the download, it is possible that the publisher has removed the file from their server.

You are allowed to download the files provided on this website for personal or commercial use, subject to the condition that they are used lawfully. All files are the property of their respective owners.

The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author.

E N D

Presentation Transcript


  1. Remote Sensing and GIS Application Lecturer Ruba Yousif Hussain Third Year 1

  2. Remote Sensing and GIS Application Lecturer Third Year Ruba Yousif Hussain Image classification Image classification is the process of sorting pixels into a finite number of individual classes, or categories, of data based on their pixel values. If a pixel satisfies a certain set of criteria, then the pixel is assigned to the class that corresponds to that criterion. There are two ways to classify pixels into different categories: 1. Unsupervised Classification Unsupervised classification is a method of identifying grouping and labeling features in an image according to their spectral values. ArcGIS performs Iso Cluster unsupervised classification 2. Supervised Classification In supervised Classification , the user relies on her/his own pattern recognition skills and a priori knowledge of the area to help the system determine the statistical criteria ( signatures ) for data classification. ArcGIS provides four supervised classification options: 1. Interactive 2. Maximum Likelihood 3. Class Probability 4. Principal Components 2

  3. Remote Sensing and GIS Application Lecturer Third Year Ruba Yousif Hussain Laboratory Unsupervised Image Classification Purpose Identification of grouping and labeling features in an image according to their spectral values. Application and Data ArcGIS Satellite Image Tutorial Urban / built up = 1 , red Agriculture = 2 , green Water = 3 , blue Transportation = 4 , gray Open a new map document enable Spatial Analysis Extension 3

  4. Remote Sensing and GIS Application Lecturer Third Year Ruba Yousif Hussain add image classification toolbar add image left click on the down arrow next to classification and it gives you list of classification methods left click on Iso Cluster Unsupervised classification 4

  5. Remote Sensing and GIS Application Lecturer Third Year Ruba Yousif Hussain Click Ok ArcMap will automatically add your new file to the Table of Contents and map document window. 5

  6. Remote Sensing and GIS Application Lecturer Third Year Ruba Yousif Hussain Change the color for any spectral class that has the following classes Urban / built up = 1 , red Agriculture = 2 , green Water = 3 , blue Transportation = 4 , gray 6

Related


More Related Content