Matches in SemOpenAlex for { <https://semopenalex.org/work/W4295346557> ?p ?o ?g. }
Showing items 1 to 63 of
63
with 100 items per page.
- W4295346557 abstract "At present, only approximately 10 % of the global seafloor topography has been finely modeled, and the rest are either lacking in data or not accurate enough to meet practical requirements. On the one hand, satellite altimeter has the advantages of large-scale and real-time observation, thus is widely used in the measurement of bathymetry, the core of seafloor topography. However, there is often room for improvement in its precision. On the other hand, multibeam echosounder bathymetric data is highly precise but normally limited to a smaller coverage, which forms a complementary relationship with the bathymetry derived from satellite altimetry. To combine the advantages of satellite altimetry-derived and multibeam sonar-derived bathymetry, we apply deep learning, which is powerful in the field of digital image automation, to perform multibeam sonar-based bathymetry correction for satellite altimetry bathymetry data. Specifically, we modify and improve a pretrained VGGNet neural network model with a depth of 19 layers to train on three sets of bathymetry data from the West Pacific, Southern Ocean, and East Pacific, respectively. Experiments show that the correlation of bathymetry data before and after correction can reach a high level, with the performance of R2 being as high as 0.81 and the RMSE improved over 19 % compared with previous research. We then explore the relationship between R2 and water depth and conclude that it varies at different depths and thus the terrain specificity was a factor that affects the precision of correction. Finally, we use the difference of water depth before and after the correction to evaluate the correction results, and find that our method can improve by more than 17 % compared with previous research. The results show that using the deep learning VGGNet model can better perform the correction of the bathymetry derived from satellite altimetry, thus providing a method for accurate modeling of the seafloor topography." @default.
- W4295346557 created "2022-09-13" @default.
- W4295346557 creator A5013511659 @default.
- W4295346557 date "2022-09-13" @default.
- W4295346557 modified "2023-10-14" @default.
- W4295346557 title "Reply on RC1" @default.
- W4295346557 doi "https://doi.org/10.5194/gmd-2022-140-ac2" @default.
- W4295346557 hasPublicationYear "2022" @default.
- W4295346557 type Work @default.
- W4295346557 citedByCount "0" @default.
- W4295346557 crossrefType "peer-review" @default.
- W4295346557 hasAuthorship W4295346557A5013511659 @default.
- W4295346557 hasBestOaLocation W42953465571 @default.
- W4295346557 hasConcept C111368507 @default.
- W4295346557 hasConcept C117485682 @default.
- W4295346557 hasConcept C127313418 @default.
- W4295346557 hasConcept C127413603 @default.
- W4295346557 hasConcept C13280743 @default.
- W4295346557 hasConcept C146978453 @default.
- W4295346557 hasConcept C161840515 @default.
- W4295346557 hasConcept C174943157 @default.
- W4295346557 hasConcept C17534553 @default.
- W4295346557 hasConcept C19269812 @default.
- W4295346557 hasConcept C205649164 @default.
- W4295346557 hasConcept C2778755073 @default.
- W4295346557 hasConcept C2989451103 @default.
- W4295346557 hasConcept C50254455 @default.
- W4295346557 hasConcept C555745239 @default.
- W4295346557 hasConcept C58640448 @default.
- W4295346557 hasConcept C62649853 @default.
- W4295346557 hasConceptScore W4295346557C111368507 @default.
- W4295346557 hasConceptScore W4295346557C117485682 @default.
- W4295346557 hasConceptScore W4295346557C127313418 @default.
- W4295346557 hasConceptScore W4295346557C127413603 @default.
- W4295346557 hasConceptScore W4295346557C13280743 @default.
- W4295346557 hasConceptScore W4295346557C146978453 @default.
- W4295346557 hasConceptScore W4295346557C161840515 @default.
- W4295346557 hasConceptScore W4295346557C174943157 @default.
- W4295346557 hasConceptScore W4295346557C17534553 @default.
- W4295346557 hasConceptScore W4295346557C19269812 @default.
- W4295346557 hasConceptScore W4295346557C205649164 @default.
- W4295346557 hasConceptScore W4295346557C2778755073 @default.
- W4295346557 hasConceptScore W4295346557C2989451103 @default.
- W4295346557 hasConceptScore W4295346557C50254455 @default.
- W4295346557 hasConceptScore W4295346557C555745239 @default.
- W4295346557 hasConceptScore W4295346557C58640448 @default.
- W4295346557 hasConceptScore W4295346557C62649853 @default.
- W4295346557 hasLocation W42953465571 @default.
- W4295346557 hasOpenAccess W4295346557 @default.
- W4295346557 hasPrimaryLocation W42953465571 @default.
- W4295346557 hasRelatedWork W2006516638 @default.
- W4295346557 hasRelatedWork W2065930088 @default.
- W4295346557 hasRelatedWork W2099110863 @default.
- W4295346557 hasRelatedWork W2099923975 @default.
- W4295346557 hasRelatedWork W2157757372 @default.
- W4295346557 hasRelatedWork W2471256170 @default.
- W4295346557 hasRelatedWork W2761789150 @default.
- W4295346557 hasRelatedWork W3021528025 @default.
- W4295346557 hasRelatedWork W3154909857 @default.
- W4295346557 hasRelatedWork W4365130968 @default.
- W4295346557 isParatext "false" @default.
- W4295346557 isRetracted "false" @default.
- W4295346557 workType "peer-review" @default.