Feature Extraction Using Remote Sensing Images

Authors

  • Nihad. A. Karam Department of Astronomy and Space, College of Science, University of Baghdad, Baghdad, Iraq
  • Ayat . F. Abed Department of Astronomy and Space, College of Science, University of Baghdad, Baghdad, Iraq

Keywords:

Feature extraction, rule-based, manual method, classification

Abstract

Feature extraction provide a quick process for extracting object from remote sensing data (images) saving time to urban planner or GIS user from digitizing hundreds of time by hand. In the present work manual, rule based, and classification methods have been applied. And using an object- based approach to classify imagery. From the result, we obtained that each method is suitable for extraction depending on the properties of the object, for example, manual method is convenient for object, which is clear, and have sufficient area, also choosing scale and merge level have significant effect on the classification process and the accuracy of object extraction. Also from the results the rule-based method is more suitable method for extracting most features, since it depends on different variable which belong to the objects.

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Published

2023-04-30

Issue

Section

Astronomy and Space

How to Cite

Feature Extraction Using Remote Sensing Images. (2023). Iraqi Journal of Science, 56(2B), 1513-1520. https://ijs.uobaghdad.edu.iq/index.php/eijs/article/view/10162

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