چکیده مقاله
Obtaining information related to mapping is a common challenge for all world governments Maps are used by military strategic , security departments police, health services, etc , construction industries electricity, phone, gas and other networks as well as by ordinary people road, sport, etc Unfortunately operators training to reach the ability to extract features for official mapping range from 5 to 10 years So there is a need to extract features automatically from images and there are many researchers who are working on this subject and there are different methods such as fusion, mathematical morphology, dynamic programming, snake model, and KALMAN filtering I have used Fuzzy logic and mathematical morphology to extract linear features just like roads The strength of the fuzzy method is its simplicity and has high flexibility for easily inserting new bands or removing bands without disturbing the remaining parts of the classifier Another advantage of this fuzzy classification method is its ease in introducing on artificial neural networks In mathematical morphology, we have used advanced morphological algorithms and it has promising results
کلیدواژهها
نویسندگان
علی محمدزاده
Geodesy and Geomatics Engineering Department, K N Toosi University of Technology
Ahad Tavakoli
Electrical Engineering Department, Amir Kabir University of Technology
Mahammad Javad Valadan Zoej
Geodesy and Geomatics Engineering Department, K N Toosi University of Technology
شیوه ارجاع
Mohammadzadeh, Ali and Tavakoli, Ahad and Valadan Zoej, Mahammad Javad,1382,Linear Feature Extraction Using Fuzzy Logic From High Resolution Satellite Imagery,6th International Conference on Civil Engineering,Isfahan
ارائهشده در
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