Matches in SemOpenAlex for { <https://semopenalex.org/work/W3207957589> ?p ?o ?g. }
Showing items 1 to 86 of
86
with 100 items per page.
- W3207957589 abstract "Information on cultivated crops is relevant for a large number of food security studies. Different scientific efforts are dedicated to generate this information from remote sensing images by means of machine learning methods. Unfortunately, these methods do not take account of the spatial-temporal relationships inherent in remote sensing images. In our paper, we explore the capability of a 3D Fully Convolutional Neural Network (FCN) to map crop types from multi-temporal images. In addition, we propose the Intersection Over Union (IOU) loss function for increasing the overlap between the predicted classes and ground reference data. The proposed method was applied to identify soybean and corn from a study area situated in the US corn belt using multi-temporal Landsat images. The study shows that our method outperforms related methods, obtaining a Kappa coefficient of 91.8%. We conclude that using the IOU loss function provides a superior choice to learn individual crop types." @default.
- W3207957589 created "2021-10-25" @default.
- W3207957589 creator A5082935691 @default.
- W3207957589 creator A5083063955 @default.
- W3207957589 creator A5088256049 @default.
- W3207957589 date "2021-07-11" @default.
- W3207957589 modified "2023-09-26" @default.
- W3207957589 title "3D Fully Convolutional Neural Networks with Intersection over Union Loss for Crop Mapping from Multi-Temporal Satellite Images" @default.
- W3207957589 cites W1991361881 @default.
- W3207957589 cites W2283002322 @default.
- W3207957589 cites W2407655494 @default.
- W3207957589 cites W2412782625 @default.
- W3207957589 cites W2604086375 @default.
- W3207957589 cites W2607245364 @default.
- W3207957589 cites W2774810635 @default.
- W3207957589 cites W2783608381 @default.
- W3207957589 cites W2799166040 @default.
- W3207957589 cites W2903282641 @default.
- W3207957589 cites W2963131120 @default.
- W3207957589 cites W2963403868 @default.
- W3207957589 cites W2990278031 @default.
- W3207957589 cites W3001560541 @default.
- W3207957589 cites W3037002701 @default.
- W3207957589 cites W3100745176 @default.
- W3207957589 cites W3104839310 @default.
- W3207957589 doi "https://doi.org/10.1109/igarss47720.2021.9554573" @default.
- W3207957589 hasPublicationYear "2021" @default.
- W3207957589 type Work @default.
- W3207957589 sameAs 3207957589 @default.
- W3207957589 citedByCount "1" @default.
- W3207957589 countsByYear W32079575892022 @default.
- W3207957589 crossrefType "proceedings-article" @default.
- W3207957589 hasAuthorship W3207957589A5082935691 @default.
- W3207957589 hasAuthorship W3207957589A5083063955 @default.
- W3207957589 hasAuthorship W3207957589A5088256049 @default.
- W3207957589 hasBestOaLocation W32079575892 @default.
- W3207957589 hasConcept C108583219 @default.
- W3207957589 hasConcept C115961682 @default.
- W3207957589 hasConcept C124101348 @default.
- W3207957589 hasConcept C127413603 @default.
- W3207957589 hasConcept C146849305 @default.
- W3207957589 hasConcept C146978453 @default.
- W3207957589 hasConcept C153180895 @default.
- W3207957589 hasConcept C154945302 @default.
- W3207957589 hasConcept C19269812 @default.
- W3207957589 hasConcept C205649164 @default.
- W3207957589 hasConcept C41008148 @default.
- W3207957589 hasConcept C58640448 @default.
- W3207957589 hasConcept C62649853 @default.
- W3207957589 hasConcept C64543145 @default.
- W3207957589 hasConcept C75294576 @default.
- W3207957589 hasConcept C81363708 @default.
- W3207957589 hasConceptScore W3207957589C108583219 @default.
- W3207957589 hasConceptScore W3207957589C115961682 @default.
- W3207957589 hasConceptScore W3207957589C124101348 @default.
- W3207957589 hasConceptScore W3207957589C127413603 @default.
- W3207957589 hasConceptScore W3207957589C146849305 @default.
- W3207957589 hasConceptScore W3207957589C146978453 @default.
- W3207957589 hasConceptScore W3207957589C153180895 @default.
- W3207957589 hasConceptScore W3207957589C154945302 @default.
- W3207957589 hasConceptScore W3207957589C19269812 @default.
- W3207957589 hasConceptScore W3207957589C205649164 @default.
- W3207957589 hasConceptScore W3207957589C41008148 @default.
- W3207957589 hasConceptScore W3207957589C58640448 @default.
- W3207957589 hasConceptScore W3207957589C62649853 @default.
- W3207957589 hasConceptScore W3207957589C64543145 @default.
- W3207957589 hasConceptScore W3207957589C75294576 @default.
- W3207957589 hasConceptScore W3207957589C81363708 @default.
- W3207957589 hasLocation W32079575891 @default.
- W3207957589 hasLocation W32079575892 @default.
- W3207957589 hasOpenAccess W3207957589 @default.
- W3207957589 hasPrimaryLocation W32079575891 @default.
- W3207957589 hasRelatedWork W2084220915 @default.
- W3207957589 hasRelatedWork W2738221750 @default.
- W3207957589 hasRelatedWork W2766604260 @default.
- W3207957589 hasRelatedWork W2774444957 @default.
- W3207957589 hasRelatedWork W2986507176 @default.
- W3207957589 hasRelatedWork W3018756076 @default.
- W3207957589 hasRelatedWork W3156786002 @default.
- W3207957589 hasRelatedWork W3189091156 @default.
- W3207957589 hasRelatedWork W4309224979 @default.
- W3207957589 hasRelatedWork W564581980 @default.
- W3207957589 isParatext "false" @default.
- W3207957589 isRetracted "false" @default.
- W3207957589 magId "3207957589" @default.
- W3207957589 workType "article" @default.