Remote Sens. 2009, 1(3), 122-143; doi:10.3390/rs1030122
Article

Similarity Measures of Remotely Sensed Multi-Sensor Images for Change Detection Applications

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Received: 6 May 2009; in revised form: 11 June 2009 / Accepted: 23 June 2009 / Published: 3 July 2009
(This article belongs to the Special Issue Microwave Remote Sensing)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: Change detection of remotely sensed images is a particularly challenging task when the time series data come from different sensors. Indeed, many change indicators are based on radiometry measurements, used to calculate differences or ratios, that are no longer meaningful when the data have been acquired by different instruments. For this reason, it is interesting to study those indicators that do not rely completely on radiometric values. In this work a new approach is proposed based on similarity measures. A series of such measures is employed for automatic change detection of optical and SAR images and a comparison of their performance is carried out to establish the limits of their applicability and their sensitivity to the occurred changes. Initial results are promising and suggest similarity measures as possiblechange detectors in multi-sensor configurations.
Keywords: earth observation; multi-sensor systems; similarity measures; change detection
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MDPI and ACS Style

Alberga, V. Similarity Measures of Remotely Sensed Multi-Sensor Images for Change Detection Applications. Remote Sens. 2009, 1, 122-143.

AMA Style

Alberga V. Similarity Measures of Remotely Sensed Multi-Sensor Images for Change Detection Applications. Remote Sensing. 2009; 1(3):122-143.

Chicago/Turabian Style

Alberga, Vito. 2009. "Similarity Measures of Remotely Sensed Multi-Sensor Images for Change Detection Applications." Remote Sens. 1, no. 3: 122-143.

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