Satellite Image Clustering

Abstract

Remote Sensing technology senses and measures the radiation or reflectance of samples of distant objects, and allows extraction of information which includes detection and recognition of objects and its coverage. Image classification methods identify the objects represented by each pixel in the satellite image based on its spectral wavelength and time series. In this chapter, the basics of satellite image classification and its types are presented. The unsupervised classification methods such as K-means, Gaussian mixture model, self-organizing maps, and Hidden Markov models are described for clustering of satellite images.