Matches in SemOpenAlex for { <https://semopenalex.org/work/W4288061889> ?p ?o ?g. }
- W4288061889 endingPage "81505" @default.
- W4288061889 startingPage "81492" @default.
- W4288061889 abstract "With the development of medium- and high-resolution satellites, successfully segmenting differently sized geo-objects remains a challenging issue in the framework of geographic object-based image analysis (GEOBIA). The hybrid image segmentation method is a good alternative to produce good segmentation that best matched the different sizes of geo-objects. However, the existing methods almost use a certain scale or other segmentation parameters (SPs) to control the sizes and shapes of segments. This will lead to two issues: (1) one single scale is impossible to segment every geo-object well due to the land cover complexity within remote-sensing imageries; (2) over- and under-segmented regions still occur in the segmentation results, whatever using any advanced segmentation methods. To solve the above problems, this paper developed a hybrid image segmentation method with local scale-guided hierarchical region merging and further over- and under-segmentation processing. First, the primitive segmentation was produced and then stratified into layers with different land covers. Then, the local scale was calculated for a more objective merging process in the separating layers. Third, the over- and under-segmentation at separating layers was recognized and re-processed for achieving a fine segmentation. To validate the proposed method, it was applied to three test images of gaofen-1 satellite with different land cover types, and ten competing methods were compared. The visual and quantitative results indicated the advantage of our method in segmenting out different sizes of geo-objects, which can effectively reduce the over- and under-segmentation error." @default.
- W4288061889 created "2022-07-28" @default.
- W4288061889 creator A5042241049 @default.
- W4288061889 creator A5055739276 @default.
- W4288061889 creator A5090739711 @default.
- W4288061889 creator A5091230839 @default.
- W4288061889 date "2022-01-01" @default.
- W4288061889 modified "2023-10-14" @default.
- W4288061889 title "Local Scale-Guided Hierarchical Region Merging and Further Over- and Under-Segmentation Processing for Hybrid Remote Sensing Image Segmentation" @default.
- W4288061889 cites W1603257402 @default.
- W4288061889 cites W1965582803 @default.
- W4288061889 cites W1967769689 @default.
- W4288061889 cites W1969975218 @default.
- W4288061889 cites W1973949190 @default.
- W4288061889 cites W1984792953 @default.
- W4288061889 cites W2010549013 @default.
- W4288061889 cites W2026259387 @default.
- W4288061889 cites W2039956000 @default.
- W4288061889 cites W2041524230 @default.
- W4288061889 cites W2045804185 @default.
- W4288061889 cites W2047243441 @default.
- W4288061889 cites W2049427966 @default.
- W4288061889 cites W2068730661 @default.
- W4288061889 cites W2072289174 @default.
- W4288061889 cites W2076198115 @default.
- W4288061889 cites W2103079830 @default.
- W4288061889 cites W2105554350 @default.
- W4288061889 cites W2122282653 @default.
- W4288061889 cites W2124260943 @default.
- W4288061889 cites W2139126945 @default.
- W4288061889 cites W2142710676 @default.
- W4288061889 cites W2145023731 @default.
- W4288061889 cites W2165069217 @default.
- W4288061889 cites W2165661463 @default.
- W4288061889 cites W2194880964 @default.
- W4288061889 cites W2259714867 @default.
- W4288061889 cites W2325171775 @default.
- W4288061889 cites W2563613133 @default.
- W4288061889 cites W2567603779 @default.
- W4288061889 cites W2586954532 @default.
- W4288061889 cites W2610292359 @default.
- W4288061889 cites W2618669755 @default.
- W4288061889 cites W2646105771 @default.
- W4288061889 cites W2648242067 @default.
- W4288061889 cites W2804104540 @default.
- W4288061889 cites W2807455572 @default.
- W4288061889 cites W2904311624 @default.
- W4288061889 cites W2909322861 @default.
- W4288061889 cites W2912634210 @default.
- W4288061889 cites W2945241815 @default.
- W4288061889 cites W2945933196 @default.
- W4288061889 cites W2953063313 @default.
- W4288061889 cites W2990267706 @default.
- W4288061889 cites W3030862285 @default.
- W4288061889 cites W3043221945 @default.
- W4288061889 cites W3068105938 @default.
- W4288061889 cites W3091095374 @default.
- W4288061889 cites W3112623242 @default.
- W4288061889 cites W3121820836 @default.
- W4288061889 cites W3158137263 @default.
- W4288061889 cites W3161625534 @default.
- W4288061889 cites W3182299891 @default.
- W4288061889 cites W3183600011 @default.
- W4288061889 cites W3184047776 @default.
- W4288061889 doi "https://doi.org/10.1109/access.2022.3194047" @default.
- W4288061889 hasPublicationYear "2022" @default.
- W4288061889 type Work @default.
- W4288061889 citedByCount "2" @default.
- W4288061889 countsByYear W42880618892023 @default.
- W4288061889 crossrefType "journal-article" @default.
- W4288061889 hasAuthorship W4288061889A5042241049 @default.
- W4288061889 hasAuthorship W4288061889A5055739276 @default.
- W4288061889 hasAuthorship W4288061889A5090739711 @default.
- W4288061889 hasAuthorship W4288061889A5091230839 @default.
- W4288061889 hasBestOaLocation W42880618891 @default.
- W4288061889 hasConcept C124504099 @default.
- W4288061889 hasConcept C125308379 @default.
- W4288061889 hasConcept C127413603 @default.
- W4288061889 hasConcept C144133560 @default.
- W4288061889 hasConcept C147176958 @default.
- W4288061889 hasConcept C153180895 @default.
- W4288061889 hasConcept C154945302 @default.
- W4288061889 hasConcept C160633673 @default.
- W4288061889 hasConcept C162853370 @default.
- W4288061889 hasConcept C205649164 @default.
- W4288061889 hasConcept C206824153 @default.
- W4288061889 hasConcept C25694479 @default.
- W4288061889 hasConcept C2778755073 @default.
- W4288061889 hasConcept C2780648208 @default.
- W4288061889 hasConcept C31972630 @default.
- W4288061889 hasConcept C41008148 @default.
- W4288061889 hasConcept C42314347 @default.
- W4288061889 hasConcept C4792198 @default.
- W4288061889 hasConcept C58640448 @default.
- W4288061889 hasConcept C62649853 @default.
- W4288061889 hasConcept C65885262 @default.
- W4288061889 hasConcept C67561299 @default.
- W4288061889 hasConcept C89600930 @default.