Change Detection of AL-Hammar Marsh Using Classification Method Based On Gaussian Mixture Model
Dr.Israa.J. Muhsin Dr. Ban Abed –AL-Rizak · International Journal of Innovative Research in Science Engineering and Technology · 2015
The object of the presented study was to monitor the changes that had happened in the main features (water, vegetation, and soil) of Al-Hammar Marsh region.To fulfill this goal, different satellite images had been used in different times, MSS 1973, TM 1990, ETM+ 2000 and MODIS 2010.A method of supervised classification was used in this study .Supervised classification relies on the prior knowledge of the location and identity of land cover types that are in the image.This can be achieved through field our work, a method of supervised classification and analysis.Which is, named supervised classifier, based on Gaussian mixture model which is often used in probability classification problems to model such distributions.The experiment demonstrate that the proposed method can get a better classification result and less affected by the noise.