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Spatiotemporal filtering of multi-temporal images: application on MODIS sea surface temperature (SST) imagery

Partsinevelos Panagiotis, Miliaresis George

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URIhttp://purl.tuc.gr/dl/dias/1A711500-C4AC-4AD9-AA2B-CF40EBB6B69B-
Αναγνωριστικόfile:///C:/Users/Δημήτρης/Downloads/2009_multitemp.pdf-
Γλώσσαen-
ΤίτλοςSpatiotemporal filtering of multi-temporal images: application on MODIS sea surface temperature (SST) imageryen
ΔημιουργόςPartsinevelos Panagiotisen
ΔημιουργόςΠαρτσινεβελος Παναγιωτηςel
ΔημιουργόςMiliaresis George en
ΠερίληψηIn this paper a series of spatiotemporal (ST) filters are devised in order to retrieve change information from multitemporal imagery depicting continuous-field data. Based on common spatial filters, derivative filters are extended to include 3-dimensional applicability, while new complex filters are designed to assist information retrieval under various application perspectives. In addition, ST filtering does not concentrate on a single pixel where possible uncertainty resides but is applied upon a pixel group lying inside a defined parallelogram. Hence, weight, parallelogram size and filter shape selection lead to varying information extraction, including merely temporal, abrupt, gradual, directional and user defined spatiotemporal change. ST filtering of multi-temporal imagery results in a new multi-change dataset depicted as a 3-dimensional cloud of points classified in magnitude and/or type. This dataset is further examined to capture and visually convey an overall summarized change behavior. Thus, a self organizing map algorithm is utilized, spreading along the change space and forming a 3-dimensional representative - signature polyline. To demonstrate the applicability of the proposed ST filters, monthly averaged sea surface temperature (SST) Modis images throughout a three year-period are processed. Temperature changes are classified according to their magnitude and type in an attempt to capture the seasonal variability, trends and possible anomalies of SST in the Aegean region of Greece. en
ΤύποςΠλήρης Δημοσίευση σε Συνέδριοel
ΤύποςConference Full Paperen
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by/4.0/en
Ημερομηνία2015-11-13-
Ημερομηνία Δημοσίευσης2009-
Βιβλιογραφική ΑναφοράP. Partsinevelos, G. Miliaresis. (2009). Spatiotemporal filtering of multi-temporal images: application on MODIS sea surface temperature (SST) imagery. Presented at 5th International Workshop on the Analysis of Multi-temporal Remote Sensing Images. [Online]. Available: file:///C:/Users/Δημήτρης/Downloads/2009_multitemp.pdfel

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