Matches in SemOpenAlex for { <https://semopenalex.org/work/W1969947174> ?p ?o ?g. }
Showing items 1 to 70 of
70
with 100 items per page.
- W1969947174 abstract "A new hybrid algorithm, based on combining the decorrelating and packing qualitites of Principal Component (PC) analysis and the shape extracting and filtering properties of Mathematical Morphology, is investigated in the frame-work of land mien detection. The new method is similar in spirit to the MM-MNF algorithm, which is based on a linear pre- filter, followed by a morphological multispectral detection component (MM). The new filter (PC-MM), has a similar concatenated structure, and addresses some of the weaknesses inherent in the linear component of the MM-MNF algorithm; namely, the susceptibility of the MNF transform to clutter inhomogeneity, as well as to variation sin clutter covariance estimation. The PC-MM algorithm addresses the stationarity problem by solely operating on image peaks extracted by a morphological top-hat transform. Therefore, the algorithm is much less susceptible to the present of different textural regions. Subsequently, the peaks in the extracted multispectral top-het image are projected into uncorrelated bands using the principal component (PC) transform. Due to the packing property of the PC transform, the target markers are typically found in the first and second bands in the PC transformed image. The targets are then detected using a variant of the morphological detection scheme. The new method provides a fast and satisfactory first-pass detection result, for images of different clutter homogeneities and target types. The extracted targets, from the first pass, are then issued to improve the detection result in a subsequent iteration, by updating covariance estimates of relevant filter variables." @default.
- W1969947174 created "2016-06-24" @default.
- W1969947174 creator A5008295443 @default.
- W1969947174 creator A5040506666 @default.
- W1969947174 date "2000-08-22" @default.
- W1969947174 modified "2023-09-23" @default.
- W1969947174 title "Iterative morphological algorithms for automated detection of land mines" @default.
- W1969947174 doi "https://doi.org/10.1117/12.396176" @default.
- W1969947174 hasPublicationYear "2000" @default.
- W1969947174 type Work @default.
- W1969947174 sameAs 1969947174 @default.
- W1969947174 citedByCount "2" @default.
- W1969947174 crossrefType "proceedings-article" @default.
- W1969947174 hasAuthorship W1969947174A5008295443 @default.
- W1969947174 hasAuthorship W1969947174A5040506666 @default.
- W1969947174 hasConcept C105795698 @default.
- W1969947174 hasConcept C106131492 @default.
- W1969947174 hasConcept C11413529 @default.
- W1969947174 hasConcept C132094186 @default.
- W1969947174 hasConcept C153180895 @default.
- W1969947174 hasConcept C154945302 @default.
- W1969947174 hasConcept C173163844 @default.
- W1969947174 hasConcept C178650346 @default.
- W1969947174 hasConcept C27438332 @default.
- W1969947174 hasConcept C31972630 @default.
- W1969947174 hasConcept C33923547 @default.
- W1969947174 hasConcept C41008148 @default.
- W1969947174 hasConcept C554190296 @default.
- W1969947174 hasConcept C76155785 @default.
- W1969947174 hasConceptScore W1969947174C105795698 @default.
- W1969947174 hasConceptScore W1969947174C106131492 @default.
- W1969947174 hasConceptScore W1969947174C11413529 @default.
- W1969947174 hasConceptScore W1969947174C132094186 @default.
- W1969947174 hasConceptScore W1969947174C153180895 @default.
- W1969947174 hasConceptScore W1969947174C154945302 @default.
- W1969947174 hasConceptScore W1969947174C173163844 @default.
- W1969947174 hasConceptScore W1969947174C178650346 @default.
- W1969947174 hasConceptScore W1969947174C27438332 @default.
- W1969947174 hasConceptScore W1969947174C31972630 @default.
- W1969947174 hasConceptScore W1969947174C33923547 @default.
- W1969947174 hasConceptScore W1969947174C41008148 @default.
- W1969947174 hasConceptScore W1969947174C554190296 @default.
- W1969947174 hasConceptScore W1969947174C76155785 @default.
- W1969947174 hasLocation W19699471741 @default.
- W1969947174 hasOpenAccess W1969947174 @default.
- W1969947174 hasPrimaryLocation W19699471741 @default.
- W1969947174 hasRelatedWork W1974828321 @default.
- W1969947174 hasRelatedWork W2009718847 @default.
- W1969947174 hasRelatedWork W2120091829 @default.
- W1969947174 hasRelatedWork W2123872527 @default.
- W1969947174 hasRelatedWork W2144552105 @default.
- W1969947174 hasRelatedWork W2148564786 @default.
- W1969947174 hasRelatedWork W2152665736 @default.
- W1969947174 hasRelatedWork W2320614128 @default.
- W1969947174 hasRelatedWork W2324167749 @default.
- W1969947174 hasRelatedWork W2383826542 @default.
- W1969947174 hasRelatedWork W248591590 @default.
- W1969947174 hasRelatedWork W2793645503 @default.
- W1969947174 hasRelatedWork W2892021386 @default.
- W1969947174 hasRelatedWork W2936266191 @default.
- W1969947174 hasRelatedWork W2939193868 @default.
- W1969947174 hasRelatedWork W3148982675 @default.
- W1969947174 hasRelatedWork W98693420 @default.
- W1969947174 hasRelatedWork W2853336361 @default.
- W1969947174 hasRelatedWork W3094047652 @default.
- W1969947174 hasRelatedWork W3152741209 @default.
- W1969947174 isParatext "false" @default.
- W1969947174 isRetracted "false" @default.
- W1969947174 magId "1969947174" @default.
- W1969947174 workType "article" @default.