Recursive multiscale estimation of space-time random fields

Ho, T.T.; Fieguth, Paul; Willski, A. S.

doi:10.1109/icip.1999.823021

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Experimental Results and Comparisons1

Kalman Filter Applied To Scale1

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2007

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Cited by 3 publications

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“…To increase the discrimination capability in Eq. (19), all statistics are calculated on suitable image blocks and the resulting values of Q averaged over the whole image to yield a unique global score. Table 4 show best performance of WKM with the exception of band B3.…”

Section: Experimental Results and Comparisonsmentioning

confidence: 99%

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Panchromatic sharpening of remote sensing images using a multiscale Kalman filter

Garzelli

Nencini

2007

Pattern Recognition

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Section: Experimental Results and Comparisonsmentioning

confidence: 99%

“…In past years recursive scale models have been proposed, as in Refs. [18,19]; the key of multiscale model is to think scale as an independent variable of time so that features of data at finer scales are extracted from a prediction of features of data at coarser scales.…”

Section: Kalman Filter Applied To Scalementioning

confidence: 99%