FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3134609067> ?p ?o ?g. }

• W3134609067 abstract "This dataset comprises the source code to perform fully automatic spatiotemporal segmentation in time series of topographic surface change data (Python scripts). Further provided is the validation material of the resulting extraction of 4D objects-by-change at the study site of a sandy beach in The Netherlands, together with results of the validation as aggregated expert evaluations. Details on the method and workflow are given in the corresponding paper: Geographic observation benefits from the increasing availability of time series of 3D geospatial data, which allow analysis of change processes at high temporal detail and over extensive periods. In this context, the demand for advanced methods to detect and extract topographic surface changes from these 4D geospatial data emerges. Changes in natural scenes occur with varying magnitude, duration, spatial extent, and change rate, and the timing of their occurrence is not known. Standard pairwise change detection requires the selection of fixed analysis periods and the specification of magnitude thresholds to determine accumulation or erosion forms. In settings with continuous surface morphology and dynamic changes to the surface due to material transport, such change forms are typically temporary and may be missed or aggregated if they occur with spatial and/or temporal overlap. This is overcome with the extraction of 4D objects-by-change (4D-OBCs). These objects are obtained by firstly detecting surface changes in the temporal domain at locations in the scene. Subsequently, they are spatially delineated by considering the full history of surface change during region growing from the seed location of a detected change. To perform this spatio¬temporal segmentation systematically for entire 3D time series, we develop a fully automatic approach of seed detection and selection, combined with locally adaptive thresholding for region growing of individual objects with varying change properties. We apply our workflow to a five-months hourly time series of around 3,000 terrestrial laser scanning point clouds acquired for coastal monitoring at a sandy beach in The Netherlands. This provides 2,021 4D-OBCs as extracted accumulation or erosion forms. Results are validated through majority agreement of six expert analysts, who evaluate the segmentation performance at sample locations throughout the scene. Accordingly, our method extracts surface changes with an error of omission of 4.7 % and an error of commission of 16.6 %. We examine the results and provide considerations how postprocessing of segments can further improve the change analysis workflow. The developed approach thereby provides a powerful tool for automatic change analysis in 4D geospatial data, namely to detect and delineate natural surface changes across space and time." @default.
• W3134609067 created "2021-03-15" @default.
• W3134609067 creator A5013825187 @default.
• W3134609067 creator A5033105562 @default.
• W3134609067 creator A5040363499 @default.
• W3134609067 creator A5055284896 @default.
• W3134609067 creator A5059928575 @default.
• W3134609067 creator A5073592854 @default.
• W3134609067 date "2021-02-12" @default.
• W3134609067 modified "2023-09-24" @default.
• W3134609067 title "Fully Automatic Spatiotemporal Segmentation of 3D LiDAR Time Series for the Extraction of Natural Surface Changes [Source Code, Validation Material and Validation Results]" @default.
• W3134609067 doi "https://doi.org/10.11588/data/4hjhaa" @default.
• W3134609067 hasPublicationYear "2021" @default.
• W3134609067 type Work @default.
• W3134609067 sameAs 3134609067 @default.
• W3134609067 citedByCount "0" @default.
• W3134609067 crossrefType "dataset" @default.
• W3134609067 hasAuthorship W3134609067A5013825187 @default.
• W3134609067 hasAuthorship W3134609067A5033105562 @default.
• W3134609067 hasAuthorship W3134609067A5040363499 @default.
• W3134609067 hasAuthorship W3134609067A5055284896 @default.
• W3134609067 hasAuthorship W3134609067A5059928575 @default.
• W3134609067 hasAuthorship W3134609067A5073592854 @default.
• W3134609067 hasConcept C111919701 @default.
• W3134609067 hasConcept C119857082 @default.
• W3134609067 hasConcept C124101348 @default.
• W3134609067 hasConcept C142259097 @default.
• W3134609067 hasConcept C154945302 @default.
• W3134609067 hasConcept C177212765 @default.
• W3134609067 hasConcept C203595873 @default.
• W3134609067 hasConcept C205649164 @default.
• W3134609067 hasConcept C41008148 @default.
• W3134609067 hasConcept C43126263 @default.
• W3134609067 hasConcept C519991488 @default.
• W3134609067 hasConcept C58640448 @default.
• W3134609067 hasConcept C77088390 @default.
• W3134609067 hasConcept C89600930 @default.
• W3134609067 hasConcept C9770341 @default.
• W3134609067 hasConceptScore W3134609067C111919701 @default.
• W3134609067 hasConceptScore W3134609067C119857082 @default.
• W3134609067 hasConceptScore W3134609067C124101348 @default.
• W3134609067 hasConceptScore W3134609067C142259097 @default.
• W3134609067 hasConceptScore W3134609067C154945302 @default.
• W3134609067 hasConceptScore W3134609067C177212765 @default.
• W3134609067 hasConceptScore W3134609067C203595873 @default.
• W3134609067 hasConceptScore W3134609067C205649164 @default.
• W3134609067 hasConceptScore W3134609067C41008148 @default.
• W3134609067 hasConceptScore W3134609067C43126263 @default.
• W3134609067 hasConceptScore W3134609067C519991488 @default.
• W3134609067 hasConceptScore W3134609067C58640448 @default.
• W3134609067 hasConceptScore W3134609067C77088390 @default.
• W3134609067 hasConceptScore W3134609067C89600930 @default.
• W3134609067 hasConceptScore W3134609067C9770341 @default.
• W3134609067 hasLocation W31346090671 @default.
• W3134609067 hasOpenAccess W3134609067 @default.
• W3134609067 hasPrimaryLocation W31346090671 @default.
• W3134609067 hasRelatedWork W1998052453 @default.
• W3134609067 hasRelatedWork W2007840738 @default.
• W3134609067 hasRelatedWork W2008437285 @default.
• W3134609067 hasRelatedWork W2030266523 @default.
• W3134609067 hasRelatedWork W2077128746 @default.
• W3134609067 hasRelatedWork W2085992718 @default.
• W3134609067 hasRelatedWork W2182826228 @default.
• W3134609067 hasRelatedWork W2362187229 @default.
• W3134609067 hasRelatedWork W2381045249 @default.
• W3134609067 hasRelatedWork W2627081599 @default.
• W3134609067 hasRelatedWork W2773608909 @default.
• W3134609067 hasRelatedWork W2803701500 @default.
• W3134609067 hasRelatedWork W2810109571 @default.
• W3134609067 hasRelatedWork W2902040614 @default.
• W3134609067 hasRelatedWork W3015756600 @default.
• W3134609067 hasRelatedWork W3017541677 @default.
• W3134609067 hasRelatedWork W30399069 @default.
• W3134609067 hasRelatedWork W3121680073 @default.
• W3134609067 hasRelatedWork W3165166066 @default.
• W3134609067 hasRelatedWork W425709982 @default.
• W3134609067 isParatext "false" @default.
• W3134609067 isRetracted "false" @default.
• W3134609067 magId "3134609067" @default.
• W3134609067 workType "dataset" @default.