FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2893932676> ?p ?o ?g. }

• W2893932676 endingPage "166" @default.
• W2893932676 startingPage "161" @default.
• W2893932676 abstract "Abstract. There is a growing use of Earth observation (EO) data for support planning in humanitarian crisis response. Information about number and dynamics of displaced population in camps is essential to humanitarian organizations for decision-making and action planning. Dwelling extraction and categorisation is a challenging task, due to the problems in separating different dwellings under different conditions, with wide range of sizes, colour and complex spatial patterns. Nowadays, so-called deep learning techniques such as deep convolutional neural network (CNN) are used for understanding image content and object recognition. Although recent developments in the field of computer vision have introduced CNN networks as a practical tool also in the field of remote sensing, the training step of these techniques is rather time-consuming and samples for the training process are rarely transferable to other application fields. These techniques also have not been fully explored for mapping camps. Our study analyses the potential of a CNN network for dwelling extraction to be embedded as initial step in a comprehensive object-based image analysis (OBIA) workflow. The results were compared to a semi-automated, i.e. combined knowledge-/sample-based, OBIA classification. The Minawao refugee camp in Cameroon served as a case study due to its well-organised, clearly distinguishable dwelling structure. We use manually delineated objects as initial input for the training samples, while the CNN network is structured with two convolution layers and one max pooling." @default.
• W2893932676 created "2018-10-05" @default.
• W2893932676 creator A5033273961 @default.
• W2893932676 creator A5039798533 @default.
• W2893932676 creator A5063258095 @default.
• W2893932676 creator A5077995471 @default.
• W2893932676 creator A5089503857 @default.
• W2893932676 date "2018-09-26" @default.
• W2893932676 modified "2023-09-30" @default.
• W2893932676 title "DWELLING EXTRACTION IN REFUGEE CAMPS USING CNN – FIRST EXPERIENCES AND LESSONS LEARNT" @default.
• W2893932676 cites W1903029394 @default.
• W2893932676 cites W1992455895 @default.
• W2893932676 cites W2089365964 @default.
• W2893932676 cites W2323853093 @default.
• W2893932676 cites W2341018344 @default.
• W2893932676 cites W2341130385 @default.
• W2893932676 cites W2538244214 @default.
• W2893932676 cites W2547697372 @default.
• W2893932676 cites W2552955500 @default.
• W2893932676 cites W2577537809 @default.
• W2893932676 cites W2598175330 @default.
• W2893932676 cites W2610528085 @default.
• W2893932676 cites W2614438169 @default.
• W2893932676 cites W2624848721 @default.
• W2893932676 cites W2729097084 @default.
• W2893932676 cites W2772466880 @default.
• W2893932676 cites W2782522152 @default.
• W2893932676 cites W2788118119 @default.
• W2893932676 cites W2992740955 @default.
• W2893932676 doi "https://doi.org/10.5194/isprs-archives-xlii-1-161-2018" @default.
• W2893932676 hasPublicationYear "2018" @default.
• W2893932676 type Work @default.
• W2893932676 sameAs 2893932676 @default.
• W2893932676 citedByCount "19" @default.
• W2893932676 countsByYear W28939326762019 @default.
• W2893932676 countsByYear W28939326762020 @default.
• W2893932676 countsByYear W28939326762021 @default.
• W2893932676 countsByYear W28939326762022 @default.
• W2893932676 countsByYear W28939326762023 @default.
• W2893932676 crossrefType "journal-article" @default.
• W2893932676 hasAuthorship W2893932676A5033273961 @default.
• W2893932676 hasAuthorship W2893932676A5039798533 @default.
• W2893932676 hasAuthorship W2893932676A5063258095 @default.
• W2893932676 hasAuthorship W2893932676A5077995471 @default.
• W2893932676 hasAuthorship W2893932676A5089503857 @default.
• W2893932676 hasBestOaLocation W28939326761 @default.
• W2893932676 hasConcept C111919701 @default.
• W2893932676 hasConcept C119857082 @default.
• W2893932676 hasConcept C127413603 @default.
• W2893932676 hasConcept C144024400 @default.
• W2893932676 hasConcept C149923435 @default.
• W2893932676 hasConcept C153180895 @default.
• W2893932676 hasConcept C154945302 @default.
• W2893932676 hasConcept C166957645 @default.
• W2893932676 hasConcept C173145845 @default.
• W2893932676 hasConcept C177212765 @default.
• W2893932676 hasConcept C185592680 @default.
• W2893932676 hasConcept C198531522 @default.
• W2893932676 hasConcept C201995342 @default.
• W2893932676 hasConcept C202444582 @default.
• W2893932676 hasConcept C205649164 @default.
• W2893932676 hasConcept C2780451532 @default.
• W2893932676 hasConcept C2908647359 @default.
• W2893932676 hasConcept C33923547 @default.
• W2893932676 hasConcept C41008148 @default.
• W2893932676 hasConcept C43617362 @default.
• W2893932676 hasConcept C70437156 @default.
• W2893932676 hasConcept C77088390 @default.
• W2893932676 hasConcept C81363708 @default.
• W2893932676 hasConcept C9652623 @default.
• W2893932676 hasConcept C98045186 @default.
• W2893932676 hasConceptScore W2893932676C111919701 @default.
• W2893932676 hasConceptScore W2893932676C119857082 @default.
• W2893932676 hasConceptScore W2893932676C127413603 @default.
• W2893932676 hasConceptScore W2893932676C144024400 @default.
• W2893932676 hasConceptScore W2893932676C149923435 @default.
• W2893932676 hasConceptScore W2893932676C153180895 @default.
• W2893932676 hasConceptScore W2893932676C154945302 @default.
• W2893932676 hasConceptScore W2893932676C166957645 @default.
• W2893932676 hasConceptScore W2893932676C173145845 @default.
• W2893932676 hasConceptScore W2893932676C177212765 @default.
• W2893932676 hasConceptScore W2893932676C185592680 @default.
• W2893932676 hasConceptScore W2893932676C198531522 @default.
• W2893932676 hasConceptScore W2893932676C201995342 @default.
• W2893932676 hasConceptScore W2893932676C202444582 @default.
• W2893932676 hasConceptScore W2893932676C205649164 @default.
• W2893932676 hasConceptScore W2893932676C2780451532 @default.
• W2893932676 hasConceptScore W2893932676C2908647359 @default.
• W2893932676 hasConceptScore W2893932676C33923547 @default.
• W2893932676 hasConceptScore W2893932676C41008148 @default.
• W2893932676 hasConceptScore W2893932676C43617362 @default.
• W2893932676 hasConceptScore W2893932676C70437156 @default.
• W2893932676 hasConceptScore W2893932676C77088390 @default.
• W2893932676 hasConceptScore W2893932676C81363708 @default.
• W2893932676 hasConceptScore W2893932676C9652623 @default.
• W2893932676 hasConceptScore W2893932676C98045186 @default.
• W2893932676 hasLocation W28939326761 @default.
• W2893932676 hasOpenAccess W2893932676 @default.

• next