Matches in SemOpenAlex for { <https://semopenalex.org/work/W3092417640> ?p ?o ?g. }
Showing items 1 to 96 of
96
with 100 items per page.
- W3092417640 endingPage "128" @default.
- W3092417640 startingPage "117" @default.
- W3092417640 abstract "Synthetic aperture radar (SAR) is one of the most widely used remote sensing monitoring methods for large-scale marine activities. Due to the influence of speckle noise, sea clutter and complex environment, ship detection of SAR images is still a challenging task. Based on the multi-layer selective cognition characteristics of the human visual system, we propose a ship target detection algorithm based on region growing and multi-scale saliency. First, the layered rough-fine land-sea segmentation is used to remove the effect of land scattering. Second, the non-subsampled Laplacian pyramid (NSLP) filter is applied to decompose the image at different scales. Then, the saliency region of the transformed coefficients is extracted by spectral residual (SR). And the constant false alarm rate (CFAR) algorithm is used to further filter the false alarm and extract target more accurately. Finally, saliency sub-images of different scales are fused to get the final detection results. Experimental results show that the algorithm not only effectively suppresses the influence of land and sea clutter, but also can improve the detection rate." @default.
- W3092417640 created "2020-10-15" @default.
- W3092417640 creator A5007614302 @default.
- W3092417640 creator A5068072849 @default.
- W3092417640 creator A5089384363 @default.
- W3092417640 date "2020-01-01" @default.
- W3092417640 modified "2023-09-23" @default.
- W3092417640 title "Ship Detection in SAR Images Based on Region Growing and Multi-scale Saliency" @default.
- W3092417640 cites W1976408326 @default.
- W3092417640 cites W2012711269 @default.
- W3092417640 cites W2056522964 @default.
- W3092417640 cites W2061200049 @default.
- W3092417640 cites W2088167233 @default.
- W3092417640 cites W2100503224 @default.
- W3092417640 cites W2128272608 @default.
- W3092417640 cites W2138386751 @default.
- W3092417640 cites W2144547976 @default.
- W3092417640 cites W2146103513 @default.
- W3092417640 cites W2181217701 @default.
- W3092417640 cites W2342877428 @default.
- W3092417640 cites W2619158701 @default.
- W3092417640 cites W2768630752 @default.
- W3092417640 cites W4239147634 @default.
- W3092417640 cites W834514630 @default.
- W3092417640 doi "https://doi.org/10.1007/978-3-030-60633-6_10" @default.
- W3092417640 hasPublicationYear "2020" @default.
- W3092417640 type Work @default.
- W3092417640 sameAs 3092417640 @default.
- W3092417640 citedByCount "2" @default.
- W3092417640 countsByYear W30924176402022 @default.
- W3092417640 countsByYear W30924176402023 @default.
- W3092417640 crossrefType "book-chapter" @default.
- W3092417640 hasAuthorship W3092417640A5007614302 @default.
- W3092417640 hasAuthorship W3092417640A5068072849 @default.
- W3092417640 hasAuthorship W3092417640A5089384363 @default.
- W3092417640 hasConcept C102290492 @default.
- W3092417640 hasConcept C106131492 @default.
- W3092417640 hasConcept C11413529 @default.
- W3092417640 hasConcept C127313418 @default.
- W3092417640 hasConcept C132094186 @default.
- W3092417640 hasConcept C153180895 @default.
- W3092417640 hasConcept C154945302 @default.
- W3092417640 hasConcept C155512373 @default.
- W3092417640 hasConcept C205649164 @default.
- W3092417640 hasConcept C2776151529 @default.
- W3092417640 hasConcept C2776836416 @default.
- W3092417640 hasConcept C2778755073 @default.
- W3092417640 hasConcept C31972630 @default.
- W3092417640 hasConcept C41008148 @default.
- W3092417640 hasConcept C554190296 @default.
- W3092417640 hasConcept C58640448 @default.
- W3092417640 hasConcept C62649853 @default.
- W3092417640 hasConcept C76155785 @default.
- W3092417640 hasConcept C77052588 @default.
- W3092417640 hasConcept C87360688 @default.
- W3092417640 hasConcept C89600930 @default.
- W3092417640 hasConceptScore W3092417640C102290492 @default.
- W3092417640 hasConceptScore W3092417640C106131492 @default.
- W3092417640 hasConceptScore W3092417640C11413529 @default.
- W3092417640 hasConceptScore W3092417640C127313418 @default.
- W3092417640 hasConceptScore W3092417640C132094186 @default.
- W3092417640 hasConceptScore W3092417640C153180895 @default.
- W3092417640 hasConceptScore W3092417640C154945302 @default.
- W3092417640 hasConceptScore W3092417640C155512373 @default.
- W3092417640 hasConceptScore W3092417640C205649164 @default.
- W3092417640 hasConceptScore W3092417640C2776151529 @default.
- W3092417640 hasConceptScore W3092417640C2776836416 @default.
- W3092417640 hasConceptScore W3092417640C2778755073 @default.
- W3092417640 hasConceptScore W3092417640C31972630 @default.
- W3092417640 hasConceptScore W3092417640C41008148 @default.
- W3092417640 hasConceptScore W3092417640C554190296 @default.
- W3092417640 hasConceptScore W3092417640C58640448 @default.
- W3092417640 hasConceptScore W3092417640C62649853 @default.
- W3092417640 hasConceptScore W3092417640C76155785 @default.
- W3092417640 hasConceptScore W3092417640C77052588 @default.
- W3092417640 hasConceptScore W3092417640C87360688 @default.
- W3092417640 hasConceptScore W3092417640C89600930 @default.
- W3092417640 hasLocation W30924176401 @default.
- W3092417640 hasOpenAccess W3092417640 @default.
- W3092417640 hasPrimaryLocation W30924176401 @default.
- W3092417640 hasRelatedWork W2134364100 @default.
- W3092417640 hasRelatedWork W2377683436 @default.
- W3092417640 hasRelatedWork W2545466458 @default.
- W3092417640 hasRelatedWork W2762723134 @default.
- W3092417640 hasRelatedWork W2764130716 @default.
- W3092417640 hasRelatedWork W2780988098 @default.
- W3092417640 hasRelatedWork W3099361147 @default.
- W3092417640 hasRelatedWork W3135487395 @default.
- W3092417640 hasRelatedWork W3164652643 @default.
- W3092417640 hasRelatedWork W4312999428 @default.
- W3092417640 isParatext "false" @default.
- W3092417640 isRetracted "false" @default.
- W3092417640 magId "3092417640" @default.
- W3092417640 workType "book-chapter" @default.