Matches in SemOpenAlex for { <https://semopenalex.org/work/W2084826410> ?p ?o ?g. }
Showing items 1 to 93 of
93
with 100 items per page.
- W2084826410 endingPage "392" @default.
- W2084826410 startingPage "383" @default.
- W2084826410 abstract "Abstract Over the past 20 years the maximum cross-correlation method has been employed both operationally and for research in geophysical sciences. Some weaknesses of the well-understood and established technique have remained, which suggest that a non statistical approach is required to overcome these deficiencies. Presently a new functional analytic approach is adopted from computer vision to derive displacement vector fields from satellite image sequences. Case studies of artificially created images with defined motion patterns as well as displacement vector fields derived from Meteosat water vapour pictures and NOAA-AVHRR sea surface temperature pictures reveal the applicability of the method. Due to the basic constraints, the method is particularly suitable for fuzzy greyvalue structures. Nevertheless, modifications concerning the atmospheric and oceanographic kinematics are still required to allow also strong shear flow to be accounted for." @default.
- W2084826410 created "2016-06-24" @default.
- W2084826410 creator A5021131599 @default.
- W2084826410 creator A5065102301 @default.
- W2084826410 creator A5071997823 @default.
- W2084826410 date "1996-01-01" @default.
- W2084826410 modified "2023-10-14" @default.
- W2084826410 title "A functional analytic method to derive displacement vector fields from satellite image sequences" @default.
- W2084826410 cites W1488600637 @default.
- W2084826410 cites W1578285471 @default.
- W2084826410 cites W1995110908 @default.
- W2084826410 cites W2011820488 @default.
- W2084826410 cites W2025510965 @default.
- W2084826410 cites W2068193046 @default.
- W2084826410 cites W2099578067 @default.
- W2084826410 cites W2139828242 @default.
- W2084826410 doi "https://doi.org/10.1080/01431169608949013" @default.
- W2084826410 hasPublicationYear "1996" @default.
- W2084826410 type Work @default.
- W2084826410 sameAs 2084826410 @default.
- W2084826410 citedByCount "21" @default.
- W2084826410 countsByYear W20848264102013 @default.
- W2084826410 countsByYear W20848264102014 @default.
- W2084826410 countsByYear W20848264102015 @default.
- W2084826410 countsByYear W20848264102017 @default.
- W2084826410 countsByYear W20848264102019 @default.
- W2084826410 crossrefType "journal-article" @default.
- W2084826410 hasAuthorship W2084826410A5021131599 @default.
- W2084826410 hasAuthorship W2084826410A5065102301 @default.
- W2084826410 hasAuthorship W2084826410A5071997823 @default.
- W2084826410 hasConcept C107551265 @default.
- W2084826410 hasConcept C11413529 @default.
- W2084826410 hasConcept C115961682 @default.
- W2084826410 hasConcept C121332964 @default.
- W2084826410 hasConcept C127313418 @default.
- W2084826410 hasConcept C1276947 @default.
- W2084826410 hasConcept C13280743 @default.
- W2084826410 hasConcept C154945302 @default.
- W2084826410 hasConcept C155542232 @default.
- W2084826410 hasConcept C15744967 @default.
- W2084826410 hasConcept C19269812 @default.
- W2084826410 hasConcept C2524010 @default.
- W2084826410 hasConcept C31972630 @default.
- W2084826410 hasConcept C33923547 @default.
- W2084826410 hasConcept C39920418 @default.
- W2084826410 hasConcept C41008148 @default.
- W2084826410 hasConcept C542102704 @default.
- W2084826410 hasConcept C58166 @default.
- W2084826410 hasConcept C62649853 @default.
- W2084826410 hasConcept C74650414 @default.
- W2084826410 hasConcept C91188154 @default.
- W2084826410 hasConceptScore W2084826410C107551265 @default.
- W2084826410 hasConceptScore W2084826410C11413529 @default.
- W2084826410 hasConceptScore W2084826410C115961682 @default.
- W2084826410 hasConceptScore W2084826410C121332964 @default.
- W2084826410 hasConceptScore W2084826410C127313418 @default.
- W2084826410 hasConceptScore W2084826410C1276947 @default.
- W2084826410 hasConceptScore W2084826410C13280743 @default.
- W2084826410 hasConceptScore W2084826410C154945302 @default.
- W2084826410 hasConceptScore W2084826410C155542232 @default.
- W2084826410 hasConceptScore W2084826410C15744967 @default.
- W2084826410 hasConceptScore W2084826410C19269812 @default.
- W2084826410 hasConceptScore W2084826410C2524010 @default.
- W2084826410 hasConceptScore W2084826410C31972630 @default.
- W2084826410 hasConceptScore W2084826410C33923547 @default.
- W2084826410 hasConceptScore W2084826410C39920418 @default.
- W2084826410 hasConceptScore W2084826410C41008148 @default.
- W2084826410 hasConceptScore W2084826410C542102704 @default.
- W2084826410 hasConceptScore W2084826410C58166 @default.
- W2084826410 hasConceptScore W2084826410C62649853 @default.
- W2084826410 hasConceptScore W2084826410C74650414 @default.
- W2084826410 hasConceptScore W2084826410C91188154 @default.
- W2084826410 hasIssue "2" @default.
- W2084826410 hasLocation W20848264101 @default.
- W2084826410 hasOpenAccess W2084826410 @default.
- W2084826410 hasPrimaryLocation W20848264101 @default.
- W2084826410 hasRelatedWork W122584421 @default.
- W2084826410 hasRelatedWork W2066693961 @default.
- W2084826410 hasRelatedWork W2108730598 @default.
- W2084826410 hasRelatedWork W2116975878 @default.
- W2084826410 hasRelatedWork W2351643838 @default.
- W2084826410 hasRelatedWork W2368363778 @default.
- W2084826410 hasRelatedWork W2753351751 @default.
- W2084826410 hasRelatedWork W2889348933 @default.
- W2084826410 hasRelatedWork W3185180338 @default.
- W2084826410 hasRelatedWork W4244295168 @default.
- W2084826410 hasVolume "17" @default.
- W2084826410 isParatext "false" @default.
- W2084826410 isRetracted "false" @default.
- W2084826410 magId "2084826410" @default.
- W2084826410 workType "article" @default.