Matches in SemOpenAlex for { <https://semopenalex.org/work/W4362697097> ?p ?o ?g. }
Showing items 1 to 93 of
93
with 100 items per page.
- W4362697097 abstract "Abstract This paper takes landslide as a special research object. For the problems of landslide detection in remote sensing images, deep learning and playback method is adopted. On the basis of YOLOv3 network and combining with Gabor filter, its edge detection, detection anchor frame and small object detection scale are improved and optimized. By adding edge control factor, K-means, K-means + +, k-medoid and ISODATA, four clustering algorithms to evaluate the accuracy of the detection anchor frame and add small target large-scale sampling, the YOLOv3(ISODATA) model was finally established for landslide image detection. To severely evaluate the effectiveness of the present method, an experimental comparison is made with three target detection models: YOLOv3, R-CNN, and Fast R-CNN. The experimental results show that the accuracy of this method reached 93.14% compared with the other three methods, the recall rate was 86.14%, and the average accuracy was 94.87%, which are higher than the other three detection methods, indicating that the method has a good effect in landslide remote sensing image detection, and improves the problems existing in landslide remote sensing image detection." @default.
- W4362697097 created "2023-04-09" @default.
- W4362697097 creator A5030691366 @default.
- W4362697097 creator A5045624196 @default.
- W4362697097 creator A5048898267 @default.
- W4362697097 creator A5081607362 @default.
- W4362697097 date "2023-04-07" @default.
- W4362697097 modified "2023-09-26" @default.
- W4362697097 title "A study of high-resolution remote sensing image landslide detection with optimized anchor boxes and edge enhancement" @default.
- W4362697097 cites W2310141728 @default.
- W4362697097 cites W2530415363 @default.
- W4362697097 cites W2538244214 @default.
- W4362697097 cites W2571334678 @default.
- W4362697097 cites W2577537809 @default.
- W4362697097 cites W2892959751 @default.
- W4362697097 cites W2899125955 @default.
- W4362697097 cites W2912361013 @default.
- W4362697097 cites W2919115771 @default.
- W4362697097 cites W2963881378 @default.
- W4362697097 cites W2992240579 @default.
- W4362697097 cites W3010924259 @default.
- W4362697097 cites W3037215700 @default.
- W4362697097 cites W3088162569 @default.
- W4362697097 cites W3105127913 @default.
- W4362697097 cites W3199031900 @default.
- W4362697097 cites W4240485910 @default.
- W4362697097 doi "https://doi.org/10.21203/rs.3.rs-2675801/v1" @default.
- W4362697097 hasPublicationYear "2023" @default.
- W4362697097 type Work @default.
- W4362697097 citedByCount "1" @default.
- W4362697097 countsByYear W43626970972023 @default.
- W4362697097 crossrefType "posted-content" @default.
- W4362697097 hasAuthorship W4362697097A5030691366 @default.
- W4362697097 hasAuthorship W4362697097A5045624196 @default.
- W4362697097 hasAuthorship W4362697097A5048898267 @default.
- W4362697097 hasAuthorship W4362697097A5081607362 @default.
- W4362697097 hasBestOaLocation W43626970971 @default.
- W4362697097 hasConcept C104541649 @default.
- W4362697097 hasConcept C115961682 @default.
- W4362697097 hasConcept C126042441 @default.
- W4362697097 hasConcept C127313418 @default.
- W4362697097 hasConcept C153180895 @default.
- W4362697097 hasConcept C154945302 @default.
- W4362697097 hasConcept C173163844 @default.
- W4362697097 hasConcept C186295008 @default.
- W4362697097 hasConcept C187320778 @default.
- W4362697097 hasConcept C193536780 @default.
- W4362697097 hasConcept C205649164 @default.
- W4362697097 hasConcept C2776151529 @default.
- W4362697097 hasConcept C2778755073 @default.
- W4362697097 hasConcept C31972630 @default.
- W4362697097 hasConcept C41008148 @default.
- W4362697097 hasConcept C58640448 @default.
- W4362697097 hasConcept C62649853 @default.
- W4362697097 hasConcept C73555534 @default.
- W4362697097 hasConcept C76155785 @default.
- W4362697097 hasConcept C9417928 @default.
- W4362697097 hasConceptScore W4362697097C104541649 @default.
- W4362697097 hasConceptScore W4362697097C115961682 @default.
- W4362697097 hasConceptScore W4362697097C126042441 @default.
- W4362697097 hasConceptScore W4362697097C127313418 @default.
- W4362697097 hasConceptScore W4362697097C153180895 @default.
- W4362697097 hasConceptScore W4362697097C154945302 @default.
- W4362697097 hasConceptScore W4362697097C173163844 @default.
- W4362697097 hasConceptScore W4362697097C186295008 @default.
- W4362697097 hasConceptScore W4362697097C187320778 @default.
- W4362697097 hasConceptScore W4362697097C193536780 @default.
- W4362697097 hasConceptScore W4362697097C205649164 @default.
- W4362697097 hasConceptScore W4362697097C2776151529 @default.
- W4362697097 hasConceptScore W4362697097C2778755073 @default.
- W4362697097 hasConceptScore W4362697097C31972630 @default.
- W4362697097 hasConceptScore W4362697097C41008148 @default.
- W4362697097 hasConceptScore W4362697097C58640448 @default.
- W4362697097 hasConceptScore W4362697097C62649853 @default.
- W4362697097 hasConceptScore W4362697097C73555534 @default.
- W4362697097 hasConceptScore W4362697097C76155785 @default.
- W4362697097 hasConceptScore W4362697097C9417928 @default.
- W4362697097 hasLocation W43626970971 @default.
- W4362697097 hasOpenAccess W4362697097 @default.
- W4362697097 hasPrimaryLocation W43626970971 @default.
- W4362697097 hasRelatedWork W1821156092 @default.
- W4362697097 hasRelatedWork W1967456564 @default.
- W4362697097 hasRelatedWork W2124741039 @default.
- W4362697097 hasRelatedWork W2348077077 @default.
- W4362697097 hasRelatedWork W2513700624 @default.
- W4362697097 hasRelatedWork W2744160734 @default.
- W4362697097 hasRelatedWork W2783980107 @default.
- W4362697097 hasRelatedWork W3157384330 @default.
- W4362697097 hasRelatedWork W3157936256 @default.
- W4362697097 hasRelatedWork W3201916710 @default.
- W4362697097 isParatext "false" @default.
- W4362697097 isRetracted "false" @default.
- W4362697097 workType "article" @default.