A Study on Intelligent Algorithms for Change Detection using Remote Sensing Images

Abstract: Magnitude of images observed from the remote sensing satellites increases day-by-day and is widely utilized for change detection. Change detection is primitively employed for monitoring the local, global and regional resources, land-cover and land-use monitoring and for environmental studies and disaster management. Remote sensing satellites afford a prospect to obtain the information about the land at varying resolution and time, makes it ideal for change detection studies. A wide variety of algorithms are available for change detection using the remote sensing images and still it is an emerging field. Intelligent algorithms can be employed in supervised, semi-supervised and unsupervised environments. In this paper, we have introduced the drawbacks of the traditional pixel based approaches and the need for intelligent algorithms for change detection. The impact of the latest intelligent change detection algorithms utilizing genetic algorithm, artificial neural network and support vector machine is highlighted. The features of the various intelligent algorithms are summarized and dataset incorporated in the experiments are also indicated. With latest availability of very high resolution images and high computing power, intelligent algorithms are the need of the hour. This paper gives a glimpse on the latest intelligent algorithms available for change detection.