Image classification arc gis10
Upcoming SlideShare
Loading in...5

Like this? Share it with your network


Image classification arc gis10

Uploaded on

Image classification si the process of extracting what you want from th image

Image classification si the process of extracting what you want from th image

  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
  • Good information keep it up....
    Are you sure you want to
    Your message goes here
No Downloads


Total Views
On Slideshare
From Embeds
Number of Embeds



Embeds 0

No embeds

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

    No notes for slide


  • 1. Image Classification in ArcGIS10 By Ashok Peddi
  • 2. Introduction to image classification• Image classification tool bar has been introduced in ArcGIS 10 with different classification techniques .• Image classification is the process of converting multiband satellite image into single band image with different classes, defined or undefined.• You can develop training sample and you can use the samples/ trained pixels which you have developed using other remote sensing softwares as well.• To use this tool bar you need spatial Analyst extension.
  • 3. Open ArcGIS and right click on the main menu bar to enable the ImageClassification toolbar(default disabled from main menu).
  • 4. You need to enable Spatial AnalystExtension by going to customize -> extension
  • 5. Once you check “imageclassification "it automaticallyadd to the ArcGIS main menu.Then add the image which youwant to classify to Arc Map.
  • 6. Once you add the image to ArcMap, it will be added to image classification tool bar.
  • 7. Use these button to add Click on iso delete the clustered images andUnsupervised mention theClassification number of bands then click ok ok
  • 8. 12 If you have training sample(Signature file/shape file) which you want to apply the same rules with this image, You can. Click on sample manager(1) and then click on open file(2). You can even create training pixels/samples
  • 9. Now iso clustered unsupervised classification is ready
  • 10. Observations• Wide variety of algorithms available including supervised, unsupervised and hybrid as well.• Processing may take longer time than remote sensing softwares.• Not robust algorithams• Interesting thing is class probability