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Descripción
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| This work proposes a new approach for change/no-change unsupervised detection by means Multi-Resolution Analysis (MRA), specifically Dual Tree Complex Wavelet Transform (DT-CWT) to extract spectral component of the two input multitemporal images. The two spectral components are then compared using the spectral ERGAS index, which have been modified for lo-cal analysis. For thresholding optimization the receiver-operating-characteristics (ROC) curve has been used and its results compared with several automatic thresholding strategies. The proposed method was compared with classical unsupervised change detection approaches. | |
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Internacional
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Si |
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DOI
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Edición del Libro
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Editorial del Libro
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ISBN
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978-80-01-04868-9 |
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Serie
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Título del Libro
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Remote Sensing and Geoinformation not only for Scientific Cooperation |
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Desde página
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247 |
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Hasta página
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254 |