Object-based Change Detection – an Unsupervised Approach

نویسنده

  • I. Niemeyer
چکیده

A variety of digital change detection techniques has been developed in the past three decades, ranging from interactive to automated procedures, from preto post-classification methods, from simultaneous to comparative analysis, from change extraction to change labelling, from bi-temporal to multitemporal methods, from spectral to spatial techniques and, last but not least, from pixel-based to object-based approaches. Reviews on the most commonly used techniques are given by i.e. [1-4].

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تاریخ انتشار 2006