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Data · dataset · 2016

A spatio-temporal normalization method for geophysical data

Listed in DANS Data Station Physical and Technical Sciences

The objective of the study was to introduce a normalization algorithm which highlights short-term, localized, non-periodic fluctuations in hyper-temporal satellite data by dividing each pixel by the mean value of its spatial neighbourhood set.

Description

The algorithm was designed to suppress signal patterns that are common in the central and surrounding pixels, utilizing spatial and temporal information at different scales. Twee folders ('Normalized_different_framesizes' en 'Retrieval_different_anomalies') zijn te groot voor upload en worden nagestuurd via SURF Filesender

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Geothermics and radiometrics 78%
Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
DANS Data Station Physical and Technical Sciencesdoi:10.17026/DANS-X7R-KGNR12 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].anzsrc:field:370605enrichment · phys techsciences datastations nltaxonomy-embedding@1.0.0title+keywords+description (78%)
concepts[field].dataverse_subject:computer-and-information-sciencesource · phys techsciences datastations nlconnector:phys_techsciences_datastations_nl@1.0.0/subjects
concepts[field].dataverse_subject:earth-and-environmental-sciencessource · phys techsciences datastations nlconnector:phys_techsciences_datastations_nl@1.0.0/subjects
concepts[field].local:field:earth-environmentalmapping · phys techsciences datastations nlconnector:phys_techsciences_datastations_nl@1.0.0/subjects
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