FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4319596938> ?p ?o ?g. }

• W4319596938 endingPage "924" @default.
• W4319596938 startingPage "924" @default.
• W4319596938 abstract "Deep-learning-based multi-sensor hyperspectral image classification algorithms can automatically acquire the advanced features of multiple sensor images, enabling the classification model to better characterize the data and improve the classification accuracy. However, the currently available classification methods for feature representation in multi-sensor remote sensing data in their respective domains do not focus on the existence of bottlenecks in heterogeneous feature fusion due to different sensors. This problem directly limits the final collaborative classification performance. In this paper, to address the bottleneck problem of joint classification due to the difference in heterogeneous features, we innovatively combine self-supervised comparative learning while designing a robust and discriminative feature extraction network for multi-sensor data, using spectral–spatial information from hyperspectral images (HSIs) and elevation information from LiDAR. The advantages of multi-sensor data are realized. The dual encoders of the hyperspectral encoder by the ConvNeXt network (ConvNeXt-HSI) and the LiDAR encoder by Octave Convolution (OctaveConv-LiDAR) are also used. The adequate feature representation of spectral–spatial features and depth information obtained from different sensors is performed for the joint classification of hyperspectral images and LiDAR data. The multi-sensor joint classification performance of both HSI and LiDAR sensors is greatly improved. Finally, on the Houston2013 dataset and the Trento dataset, we demonstrate through a series of experiments that the dual-encoder model for hyperspectral and LiDAR joint classification via contrastive learning achieves state-of-the-art classification performance." @default.
• W4319596938 created "2023-02-09" @default.
• W4319596938 creator A5034021483 @default.
• W4319596938 creator A5045612936 @default.
• W4319596938 creator A5051937215 @default.
• W4319596938 creator A5064465982 @default.
• W4319596938 creator A5082226990 @default.
• W4319596938 date "2023-02-07" @default.
• W4319596938 modified "2023-10-18" @default.
• W4319596938 title "A Novel Dual-Encoder Model for Hyperspectral and LiDAR Joint Classification via Contrastive Learning" @default.
• W4319596938 cites W1965309615 @default.
• W4319596938 cites W1967621805 @default.
• W4319596938 cites W2039609561 @default.
• W4319596938 cites W2044439250 @default.
• W4319596938 cites W2063907334 @default.
• W4319596938 cites W2071190035 @default.
• W4319596938 cites W2097117768 @default.
• W4319596938 cites W2117539524 @default.
• W4319596938 cites W2165796970 @default.
• W4319596938 cites W2183341477 @default.
• W4319596938 cites W2194775991 @default.
• W4319596938 cites W2549139847 @default.
• W4319596938 cites W2592939477 @default.
• W4319596938 cites W2618530766 @default.
• W4319596938 cites W2732026016 @default.
• W4319596938 cites W2765739551 @default.
• W4319596938 cites W2908968031 @default.
• W4319596938 cites W2923136550 @default.
• W4319596938 cites W2928165649 @default.
• W4319596938 cites W2964350391 @default.
• W4319596938 cites W3002497127 @default.
• W4319596938 cites W3035524453 @default.
• W4319596938 cites W3048631361 @default.
• W4319596938 cites W3105021316 @default.
• W4319596938 cites W3128592650 @default.
• W4319596938 cites W3132859298 @default.
• W4319596938 cites W3138516171 @default.
• W4319596938 cites W3196386002 @default.
• W4319596938 cites W4210572383 @default.
• W4319596938 cites W4224253859 @default.
• W4319596938 cites W4312443924 @default.
• W4319596938 doi "https://doi.org/10.3390/rs15040924" @default.
• W4319596938 hasPublicationYear "2023" @default.
• W4319596938 type Work @default.
• W4319596938 citedByCount "3" @default.
• W4319596938 countsByYear W43195969382023 @default.
• W4319596938 crossrefType "journal-article" @default.
• W4319596938 hasAuthorship W4319596938A5034021483 @default.
• W4319596938 hasAuthorship W4319596938A5045612936 @default.
• W4319596938 hasAuthorship W4319596938A5051937215 @default.
• W4319596938 hasAuthorship W4319596938A5064465982 @default.
• W4319596938 hasAuthorship W4319596938A5082226990 @default.
• W4319596938 hasBestOaLocation W43195969381 @default.
• W4319596938 hasConcept C101738243 @default.
• W4319596938 hasConcept C108583219 @default.
• W4319596938 hasConcept C111919701 @default.
• W4319596938 hasConcept C118505674 @default.
• W4319596938 hasConcept C138885662 @default.
• W4319596938 hasConcept C153180895 @default.
• W4319596938 hasConcept C154945302 @default.
• W4319596938 hasConcept C159078339 @default.
• W4319596938 hasConcept C205649164 @default.
• W4319596938 hasConcept C2776401178 @default.
• W4319596938 hasConcept C31972630 @default.
• W4319596938 hasConcept C41008148 @default.
• W4319596938 hasConcept C41895202 @default.
• W4319596938 hasConcept C51399673 @default.
• W4319596938 hasConcept C52622490 @default.
• W4319596938 hasConcept C59404180 @default.
• W4319596938 hasConcept C62649853 @default.
• W4319596938 hasConcept C97931131 @default.
• W4319596938 hasConceptScore W4319596938C101738243 @default.
• W4319596938 hasConceptScore W4319596938C108583219 @default.
• W4319596938 hasConceptScore W4319596938C111919701 @default.
• W4319596938 hasConceptScore W4319596938C118505674 @default.
• W4319596938 hasConceptScore W4319596938C138885662 @default.
• W4319596938 hasConceptScore W4319596938C153180895 @default.
• W4319596938 hasConceptScore W4319596938C154945302 @default.
• W4319596938 hasConceptScore W4319596938C159078339 @default.
• W4319596938 hasConceptScore W4319596938C205649164 @default.
• W4319596938 hasConceptScore W4319596938C2776401178 @default.
• W4319596938 hasConceptScore W4319596938C31972630 @default.
• W4319596938 hasConceptScore W4319596938C41008148 @default.
• W4319596938 hasConceptScore W4319596938C41895202 @default.
• W4319596938 hasConceptScore W4319596938C51399673 @default.
• W4319596938 hasConceptScore W4319596938C52622490 @default.
• W4319596938 hasConceptScore W4319596938C59404180 @default.
• W4319596938 hasConceptScore W4319596938C62649853 @default.
• W4319596938 hasConceptScore W4319596938C97931131 @default.
• W4319596938 hasIssue "4" @default.
• W4319596938 hasLocation W43195969381 @default.
• W4319596938 hasOpenAccess W4319596938 @default.
• W4319596938 hasPrimaryLocation W43195969381 @default.
• W4319596938 hasRelatedWork W2285052147 @default.
• W4319596938 hasRelatedWork W2546942002 @default.
• W4319596938 hasRelatedWork W2592385986 @default.
• W4319596938 hasRelatedWork W2772780115 @default.
• W4319596938 hasRelatedWork W2782869875 @default.

• next