FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4304172276> ?p ?o ?g. }

• W4304172276 endingPage "12597" @default.
• W4304172276 startingPage "12597" @default.
• W4304172276 abstract "In this study, an automatic Change Detection (CD) framework based on a multi-dimensional deep Siamese network was proposed for CD in bi-temporal hyperspectral imagery. The proposed method has two main steps: (1) automatic generation of training samples using the Otsu algorithm and the Dynamic Time Wrapping (DTW) predictor, and (2) binary CD using a multidimensional multi-dimensional Convolution Neural Network (CNN). Two bi-temporal hyperspectral datasets of the Hyperion sensor with a variety of land cover classes were used to evaluate the performance of the proposed method. The results were also compared to reference data and two state-of-the-art hyperspectral change detection (HCD) algorithms. It was observed that the proposed method relatively had higher accuracy and lower False Alarm (FA) rate, where the average Overall Accuracy (OA) and Kappa Coefficient (KC) were more than 96% and 0.90, respectively, and the average FA rate was lower than 5%." @default.
• W4304172276 created "2022-10-11" @default.
• W4304172276 creator A5018156889 @default.
• W4304172276 creator A5020765155 @default.
• W4304172276 creator A5035403090 @default.
• W4304172276 date "2022-10-03" @default.
• W4304172276 modified "2023-09-30" @default.
• W4304172276 title "A Multi-Dimensional Deep Siamese Network for Land Cover Change Detection in Bi-Temporal Hyperspectral Imagery" @default.
• W4304172276 cites W2006218390 @default.
• W4304172276 cites W2334023959 @default.
• W4304172276 cites W2472919595 @default.
• W4304172276 cites W2752509951 @default.
• W4304172276 cites W2757003988 @default.
• W4304172276 cites W2773926432 @default.
• W4304172276 cites W2782517596 @default.
• W4304172276 cites W2800240447 @default.
• W4304172276 cites W2890264245 @default.
• W4304172276 cites W2898923688 @default.
• W4304172276 cites W2900587135 @default.
• W4304172276 cites W2947716040 @default.
• W4304172276 cites W2973851347 @default.
• W4304172276 cites W2982140271 @default.
• W4304172276 cites W2999825985 @default.
• W4304172276 cites W3000097396 @default.
• W4304172276 cites W3000358529 @default.
• W4304172276 cites W3000978536 @default.
• W4304172276 cites W3015167329 @default.
• W4304172276 cites W3020832687 @default.
• W4304172276 cites W3037587714 @default.
• W4304172276 cites W3080110180 @default.
• W4304172276 cites W3093069797 @default.
• W4304172276 cites W3099102165 @default.
• W4304172276 cites W3104341624 @default.
• W4304172276 cites W3105553032 @default.
• W4304172276 cites W3113176042 @default.
• W4304172276 cites W3113822005 @default.
• W4304172276 cites W3113886037 @default.
• W4304172276 cites W3114429882 @default.
• W4304172276 cites W3120662950 @default.
• W4304172276 cites W3129037655 @default.
• W4304172276 cites W3134140119 @default.
• W4304172276 cites W3135190982 @default.
• W4304172276 cites W3136224375 @default.
• W4304172276 cites W3136812385 @default.
• W4304172276 cites W3159129885 @default.
• W4304172276 cites W3164892293 @default.
• W4304172276 cites W3172776278 @default.
• W4304172276 cites W3181727745 @default.
• W4304172276 cites W3183729446 @default.
• W4304172276 cites W3201540601 @default.
• W4304172276 cites W4206648788 @default.
• W4304172276 cites W4210609156 @default.
• W4304172276 cites W4211155378 @default.
• W4304172276 cites W4212961686 @default.
• W4304172276 cites W4220763407 @default.
• W4304172276 cites W4224305366 @default.
• W4304172276 cites W4224314544 @default.
• W4304172276 cites W4288449622 @default.
• W4304172276 doi "https://doi.org/10.3390/su141912597" @default.
• W4304172276 hasPublicationYear "2022" @default.
• W4304172276 type Work @default.
• W4304172276 citedByCount "5" @default.
• W4304172276 countsByYear W43041722762022 @default.
• W4304172276 countsByYear W43041722762023 @default.
• W4304172276 crossrefType "journal-article" @default.
• W4304172276 hasAuthorship W4304172276A5018156889 @default.
• W4304172276 hasAuthorship W4304172276A5020765155 @default.
• W4304172276 hasAuthorship W4304172276A5035403090 @default.
• W4304172276 hasBestOaLocation W43041722761 @default.
• W4304172276 hasConcept C127413603 @default.
• W4304172276 hasConcept C147176958 @default.
• W4304172276 hasConcept C153180895 @default.
• W4304172276 hasConcept C154945302 @default.
• W4304172276 hasConcept C159078339 @default.
• W4304172276 hasConcept C203595873 @default.
• W4304172276 hasConcept C205649164 @default.
• W4304172276 hasConcept C2780648208 @default.
• W4304172276 hasConcept C41008148 @default.
• W4304172276 hasConcept C4792198 @default.
• W4304172276 hasConcept C62649853 @default.
• W4304172276 hasConcept C77052588 @default.
• W4304172276 hasConcept C81363708 @default.
• W4304172276 hasConceptScore W4304172276C127413603 @default.
• W4304172276 hasConceptScore W4304172276C147176958 @default.
• W4304172276 hasConceptScore W4304172276C153180895 @default.
• W4304172276 hasConceptScore W4304172276C154945302 @default.
• W4304172276 hasConceptScore W4304172276C159078339 @default.
• W4304172276 hasConceptScore W4304172276C203595873 @default.
• W4304172276 hasConceptScore W4304172276C205649164 @default.
• W4304172276 hasConceptScore W4304172276C2780648208 @default.
• W4304172276 hasConceptScore W4304172276C41008148 @default.
• W4304172276 hasConceptScore W4304172276C4792198 @default.
• W4304172276 hasConceptScore W4304172276C62649853 @default.
• W4304172276 hasConceptScore W4304172276C77052588 @default.
• W4304172276 hasConceptScore W4304172276C81363708 @default.
• W4304172276 hasIssue "19" @default.
• W4304172276 hasLocation W43041722761 @default.
• W4304172276 hasLocation W43041722762 @default.

• next