Matches in SemOpenAlex for { <https://semopenalex.org/work/W4361771214> ?p ?o ?g. }
Showing items 1 to 76 of
76
with 100 items per page.
- W4361771214 endingPage "238" @default.
- W4361771214 startingPage "227" @default.
- W4361771214 abstract "Water segmentation from SAR images plays a very important role in water resources investigation, ecological evaluation and flood response. In recent years, convolutional neural network based method has received much attention in target segmentation from remote sensing image, especially in water body segmentation of SAR image. However, limited imaging quality and complex backgrounds bring challenges for water body segmentation, and insufficient labeled samples prevents deep learning based segmentation algorithms from achieving satisfied performance. For further comprehensive research, a pure large SAR water segmentation dataset, named UJN-SAR, was proposed in this paper, which was constructed based on domestic SAR satellite data and has advantages in imaging quality and various spatial resolution. Furthermore, detailed comprehensive experimental analysis was presented based on UJN-SAR via state of the art segmentation algorithms. Experimental results illustrated the effectiveness of the dataset, which will be a benchmark dataset for SAR-based water segmentation, and the models with parameters obtained in the experiment can also be utilized as initial weights of the pre-trained segmentation models." @default.
- W4361771214 created "2023-04-04" @default.
- W4361771214 creator A5011475674 @default.
- W4361771214 creator A5012986901 @default.
- W4361771214 creator A5020085077 @default.
- W4361771214 creator A5032300300 @default.
- W4361771214 creator A5041295978 @default.
- W4361771214 creator A5062486101 @default.
- W4361771214 creator A5089879242 @default.
- W4361771214 date "2023-01-01" @default.
- W4361771214 modified "2023-09-24" @default.
- W4361771214 title "UJN-SAR: A Large Dataset with Experimental Analysis for Water Body Segmentation from SAR Images" @default.
- W4361771214 cites W1901129140 @default.
- W4361771214 cites W2292302010 @default.
- W4361771214 cites W2330752992 @default.
- W4361771214 cites W2616727008 @default.
- W4361771214 cites W2973660294 @default.
- W4361771214 cites W3088874437 @default.
- W4361771214 doi "https://doi.org/10.1007/978-981-99-0923-0_23" @default.
- W4361771214 hasPublicationYear "2023" @default.
- W4361771214 type Work @default.
- W4361771214 citedByCount "0" @default.
- W4361771214 crossrefType "book-chapter" @default.
- W4361771214 hasAuthorship W4361771214A5011475674 @default.
- W4361771214 hasAuthorship W4361771214A5012986901 @default.
- W4361771214 hasAuthorship W4361771214A5020085077 @default.
- W4361771214 hasAuthorship W4361771214A5032300300 @default.
- W4361771214 hasAuthorship W4361771214A5041295978 @default.
- W4361771214 hasAuthorship W4361771214A5062486101 @default.
- W4361771214 hasAuthorship W4361771214A5089879242 @default.
- W4361771214 hasConcept C108583219 @default.
- W4361771214 hasConcept C124504099 @default.
- W4361771214 hasConcept C153180895 @default.
- W4361771214 hasConcept C154945302 @default.
- W4361771214 hasConcept C185798385 @default.
- W4361771214 hasConcept C205649164 @default.
- W4361771214 hasConcept C31972630 @default.
- W4361771214 hasConcept C41008148 @default.
- W4361771214 hasConcept C58640448 @default.
- W4361771214 hasConcept C62649853 @default.
- W4361771214 hasConcept C65885262 @default.
- W4361771214 hasConcept C81363708 @default.
- W4361771214 hasConcept C87360688 @default.
- W4361771214 hasConcept C89600930 @default.
- W4361771214 hasConceptScore W4361771214C108583219 @default.
- W4361771214 hasConceptScore W4361771214C124504099 @default.
- W4361771214 hasConceptScore W4361771214C153180895 @default.
- W4361771214 hasConceptScore W4361771214C154945302 @default.
- W4361771214 hasConceptScore W4361771214C185798385 @default.
- W4361771214 hasConceptScore W4361771214C205649164 @default.
- W4361771214 hasConceptScore W4361771214C31972630 @default.
- W4361771214 hasConceptScore W4361771214C41008148 @default.
- W4361771214 hasConceptScore W4361771214C58640448 @default.
- W4361771214 hasConceptScore W4361771214C62649853 @default.
- W4361771214 hasConceptScore W4361771214C65885262 @default.
- W4361771214 hasConceptScore W4361771214C81363708 @default.
- W4361771214 hasConceptScore W4361771214C87360688 @default.
- W4361771214 hasConceptScore W4361771214C89600930 @default.
- W4361771214 hasLocation W43617712141 @default.
- W4361771214 hasOpenAccess W4361771214 @default.
- W4361771214 hasPrimaryLocation W43617712141 @default.
- W4361771214 hasRelatedWork W1507266234 @default.
- W4361771214 hasRelatedWork W1631910785 @default.
- W4361771214 hasRelatedWork W1669643531 @default.
- W4361771214 hasRelatedWork W1700740617 @default.
- W4361771214 hasRelatedWork W2069711651 @default.
- W4361771214 hasRelatedWork W2117664411 @default.
- W4361771214 hasRelatedWork W2117933325 @default.
- W4361771214 hasRelatedWork W2739874619 @default.
- W4361771214 hasRelatedWork W3197341992 @default.
- W4361771214 hasRelatedWork W1967061043 @default.
- W4361771214 isParatext "false" @default.
- W4361771214 isRetracted "false" @default.
- W4361771214 workType "book-chapter" @default.