Change detection thresholds for remotely sensed images |
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| Authors: | Peter A Rogerson |
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| Institution: | (1) Department of Geography, University at Buffalo, Wilkeson Hall, Buffalo, NY 14261, USA, US |
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| Abstract: | The detection of change in remotely sensed images is often carried out by designating a threshold to distinguish between
areas of change and areas of no change. The choice of threshold is often arbitrary however. The purpose of this paper is to
offer a statistical framework for the selection of thresholds. The framework accounts for the facts that one carries out multiple
tests of the null hypothesis of no change, when searching for regions of change over an image with a large number of pixels.
Special attention is given to global spatial autocorrelation, which can affect the selection of appropriate threshold values.
Received: 8 March 2001 / Accepted: 12 October 2001 |
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| Keywords: | : Change detection spatial autocorrelation thresholds random images |
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