Multi-spectral images classification based on intelligent water drops algorithm

Mosul's city land covers soil, cultivated land, stony, pastoral water, and ploughed agricultural land. We have classified multispectral images captured by the sensor (TM) carried on Landsat satellite. Integrated approach of intelligent water drops (IWDs) algorithm is used to identify natural terrain. In this research, IWDs been suggested find best results for image classification. The purpose using an algorithm, give accurate fast comparing IWD with K-mean algorithm. programmed Matlab2017b software environment demonstrate proposed methodology's effectiveness. integrated concept has applied satellite Mosul in Iraq. By K-mean, we found clear time superiority equal 1.4122 (K-mean) 18.9475. Furthermore, drop algorithm's classification accuracy 95%, while 83.3%. Based analysis results, conclude a robust promising detecting remote sensing changes