GENERATING ARTIFICIAL NEAR INFRARED SPECTRAL BAND FROM RGB IMAGE USING CONDITIONAL GENERATIVE ADVERSARIAL NETWORK
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Erschienen in
-
GENERATING ARTIFICIAL NEAR INFRARED SPECTRAL BAND FROM RGB IMAGE USING CONDITIONAL GENERATIVE ADVERSARIAL NETWORK ; volume:V-3-2020 ; year:2020 ; pages:279-285
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences ; V-3-2020 (2020), 279-285
- Urheber
-
Yuan, X.
Tian, J.
Reinartz, P.
- DOI
-
10.5194/isprs-annals-V-3-2020-279-2020
- URN
-
urn:nbn:de:101:1-2020080617582358593789
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:47 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Yuan, X.
- Tian, J.
- Reinartz, P.
Ähnliche Objekte (12)
Generating mobility networks with generative adversarial networks
Improved Wasserstein conditional generative adversarial network speech enhancement
Estimation of tissue oxygen saturation from RGB images and sparse hyperspectral signals based on conditional generative adversarial network
Conditional generative adversarial networks for individualized causal mediation analysis
3D Model Generation and Reconstruction Using Conditional Generative Adversarial Network
Conditional Generative Adversarial Networks for Inverse Design of Multifunctional Metasurfaces
Generative Adversarial Privacy
Molecular identification with atomic force microscopy and conditional generative adversarial networks
Data-driven concurrent nanostructure optimization based on conditional generative adversarial networks
Generating 3D TOF-MRA volumes and segmentation labels using generative adversarial networks
Conditional Generative Adversarial Networks for Data Augmentation of a Neonatal Image Dataset
Reducing image artifacts in sparse projection CT using conditional generative adversarial networks
Generating mobility networks with generative adversarial networks
Improved Wasserstein conditional generative adversarial network speech enhancement
Estimation of tissue oxygen saturation from RGB images and sparse hyperspectral signals based on conditional generative adversarial network
Conditional generative adversarial networks for individualized causal mediation analysis
3D Model Generation and Reconstruction Using Conditional Generative Adversarial Network
Conditional Generative Adversarial Networks for Inverse Design of Multifunctional Metasurfaces
Generative Adversarial Privacy
Molecular identification with atomic force microscopy and conditional generative adversarial networks
Data-driven concurrent nanostructure optimization based on conditional generative adversarial networks
Generating 3D TOF-MRA volumes and segmentation labels using generative adversarial networks
Conditional Generative Adversarial Networks for Data Augmentation of a Neonatal Image Dataset
Reducing image artifacts in sparse projection CT using conditional generative adversarial networks
Generating mobility networks with generative adversarial networks
Improved Wasserstein conditional generative adversarial network speech enhancement
Estimation of tissue oxygen saturation from RGB images and sparse hyperspectral signals based on conditional generative adversarial network
Conditional generative adversarial networks for individualized causal mediation analysis
3D Model Generation and Reconstruction Using Conditional Generative Adversarial Network
Conditional Generative Adversarial Networks for Inverse Design of Multifunctional Metasurfaces
Generative Adversarial Privacy
Molecular identification with atomic force microscopy and conditional generative adversarial networks
Data-driven concurrent nanostructure optimization based on conditional generative adversarial networks
Generating 3D TOF-MRA volumes and segmentation labels using generative adversarial networks
Conditional Generative Adversarial Networks for Data Augmentation of a Neonatal Image Dataset