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Abstract
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| Change detection is one of the most common applications of Remote Sensing. The methodologies used for change detection in remote sensing are generally grouped into supervised and unsupervised. In this paper, we show that thresholding techniques based on the entropy calculation, are appropriate methods to generate change maps obtained by unsupervised procedures in urban environments. For this purpose, entropy-based thresholding algorithms have been applied to 'Change Indicators' derived from aerial and SPOT 5 satellite data. Thereafter, these results have integrated in a multisource decision algorithm in order to produce a single change detection map. The achieved results highlight the suitability of this Change Detection methodology. | |
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International
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No |
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Book Edition
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Book Publishing
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Carmen Recondo Gonzalez y Enrique Pendas Molina ed. |
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ISBN
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0-0000-000-00 |
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Series
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Book title
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Teledetección. Bosques y Cambio Climático |
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From page
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469 |
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To page
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472 |