The data obtained from remote sensing satellites furnish information about the land at varying resolutions and has been widely used for change detection studies. There exist a huge number of change detection methodologies and techniques with the continual emergence of new ones. This paper provides a review of pixel based and object-based change detection techniques in conjunction with the comparison of their merits and limitations. The advent of very-high-resolution remotely sensed images, exponentially increased image data volume and multiple sensors demand the potential use of data mining techniques in tandem with object-based methods for change detection.
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R et al. (2015) studied this question.