Matches in SemOpenAlex for { <https://semopenalex.org/work/W2791978536> ?p ?o ?g. }
- W2791978536 endingPage "2574" @default.
- W2791978536 startingPage "2560" @default.
- W2791978536 abstract "Synthetic aperture radar (SAR) image segmentation is a difficult problem due to the presence of strong multiplicative noise. To attain multi-region segmentation for SAR images, this paper presents a parametric segmentation method based on the multi-texture model with level sets. Segmentation is achieved by solving level set functions obtained from minimizing the proposed energy functional. To fully utilize image information, edge feature and region information are both included in the energy functional. For the need of level set evolution, the ratio of exponentially weighted averages operator is modified to obtain edge feature. Region information is obtained by the improved edgeworth series expansion, which can adaptively model a SAR image distribution with respect to various kinds of regions. The performance of the proposed method is verified by three high resolution SAR images. The experimental results demonstrate that SAR images can be segmented into multiple regions accurately without any speckle pre-processing steps by the proposed method." @default.
- W2791978536 created "2018-03-29" @default.
- W2791978536 creator A5015831964 @default.
- W2791978536 creator A5017195934 @default.
- W2791978536 creator A5050888055 @default.
- W2791978536 date "2018-05-01" @default.
- W2791978536 modified "2023-10-10" @default.
- W2791978536 title "A Multi-Region Segmentation Method for SAR Images Based on the Multi-Texture Model With Level Sets" @default.
- W2791978536 cites W1648628932 @default.
- W2791978536 cites W1973066300 @default.
- W2791978536 cites W1974141535 @default.
- W2791978536 cites W1976748909 @default.
- W2791978536 cites W1979968728 @default.
- W2791978536 cites W2001254200 @default.
- W2791978536 cites W2027350727 @default.
- W2791978536 cites W2033903783 @default.
- W2791978536 cites W2048611331 @default.
- W2791978536 cites W2069512342 @default.
- W2791978536 cites W2076063977 @default.
- W2791978536 cites W2085845644 @default.
- W2791978536 cites W2086921140 @default.
- W2791978536 cites W2098152234 @default.
- W2791978536 cites W2100255334 @default.
- W2791978536 cites W2101178628 @default.
- W2791978536 cites W2101560656 @default.
- W2791978536 cites W2104095591 @default.
- W2791978536 cites W2114487471 @default.
- W2791978536 cites W2115922709 @default.
- W2791978536 cites W2116040950 @default.
- W2791978536 cites W2119293286 @default.
- W2791978536 cites W2120561279 @default.
- W2791978536 cites W2126176832 @default.
- W2791978536 cites W2130706954 @default.
- W2791978536 cites W2131910503 @default.
- W2791978536 cites W2132363464 @default.
- W2791978536 cites W2134478556 @default.
- W2791978536 cites W2137993841 @default.
- W2791978536 cites W2138219528 @default.
- W2791978536 cites W2140022209 @default.
- W2791978536 cites W2142572935 @default.
- W2791978536 cites W2144494233 @default.
- W2791978536 cites W2144615653 @default.
- W2791978536 cites W2145803225 @default.
- W2791978536 cites W2146123543 @default.
- W2791978536 cites W2146448565 @default.
- W2791978536 cites W2149184914 @default.
- W2791978536 cites W2161237731 @default.
- W2791978536 cites W2165734775 @default.
- W2791978536 cites W2167595718 @default.
- W2791978536 cites W2169068726 @default.
- W2791978536 cites W3211330693 @default.
- W2791978536 cites W4210360983 @default.
- W2791978536 doi "https://doi.org/10.1109/tip.2018.2806201" @default.
- W2791978536 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/29994632" @default.
- W2791978536 hasPublicationYear "2018" @default.
- W2791978536 type Work @default.
- W2791978536 sameAs 2791978536 @default.
- W2791978536 citedByCount "35" @default.
- W2791978536 countsByYear W27919785362018 @default.
- W2791978536 countsByYear W27919785362019 @default.
- W2791978536 countsByYear W27919785362020 @default.
- W2791978536 countsByYear W27919785362021 @default.
- W2791978536 countsByYear W27919785362022 @default.
- W2791978536 countsByYear W27919785362023 @default.
- W2791978536 crossrefType "journal-article" @default.
- W2791978536 hasAuthorship W2791978536A5015831964 @default.
- W2791978536 hasAuthorship W2791978536A5017195934 @default.
- W2791978536 hasAuthorship W2791978536A5050888055 @default.
- W2791978536 hasConcept C102290492 @default.
- W2791978536 hasConcept C10929652 @default.
- W2791978536 hasConcept C124504099 @default.
- W2791978536 hasConcept C125269122 @default.
- W2791978536 hasConcept C131021393 @default.
- W2791978536 hasConcept C13412647 @default.
- W2791978536 hasConcept C134306372 @default.
- W2791978536 hasConcept C138885662 @default.
- W2791978536 hasConcept C153008295 @default.
- W2791978536 hasConcept C153180895 @default.
- W2791978536 hasConcept C154945302 @default.
- W2791978536 hasConcept C18015164 @default.
- W2791978536 hasConcept C180940675 @default.
- W2791978536 hasConcept C191640071 @default.
- W2791978536 hasConcept C25694479 @default.
- W2791978536 hasConcept C2776401178 @default.
- W2791978536 hasConcept C31972630 @default.
- W2791978536 hasConcept C33923547 @default.
- W2791978536 hasConcept C41008148 @default.
- W2791978536 hasConcept C41895202 @default.
- W2791978536 hasConcept C554190296 @default.
- W2791978536 hasConcept C63099799 @default.
- W2791978536 hasConcept C65885262 @default.
- W2791978536 hasConcept C67561299 @default.
- W2791978536 hasConcept C761482 @default.
- W2791978536 hasConcept C76155785 @default.
- W2791978536 hasConcept C87360688 @default.
- W2791978536 hasConcept C89600930 @default.
- W2791978536 hasConceptScore W2791978536C102290492 @default.
- W2791978536 hasConceptScore W2791978536C10929652 @default.