Retrieving Similar Image Using Color Moment Feature Detector and K-means Clustering of Remote Sensing Images

Information extraction in remote sensing images has become an important area of research. Now day's remote sensing images are used extensively for finding patterns of interest. The remote sensing data is processed automatically by computer and/or manually interpreted by humans, and are used in agriculture, geology, oceanography, meteorology, environment etc. In this paper, different Remote Sensing Images of Bhopal are preprocessed and stored in JPEG format. Then as a feature detector we use color moment, a low level color measurement. Finally clustering of these images is done with K-means clustering algorithm.