- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
AUTOMATIC TEXTURE RECONSTRUCTION OF 3D CITY MODEL FROM OBLIQUE IMAGES ; volume:XLI-B1 ; year:2016 ; pages:341-347
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ; XLI-B1 (2016), 341-347
- Creator
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Kang, Junhua
Deng, Fei
Li, Xinwei
Wan, Fang
- DOI
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10.5194/isprs-archives-XLI-B1-341-2016
- URN
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urn:nbn:de:101:1-201711094690
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
- 15.08.2025, 7:28 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Kang, Junhua
- Deng, Fei
- Li, Xinwei
- Wan, Fang
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AUTOMATIC BUILDING OUTLINING FROM MULTI-VIEW OBLIQUE IMAGES
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HIERARCHICAL REPETITION EXTRACTION FOR BUILDING FAÇADE RECONSTRUCTION FROM OBLIQUE AERIAL IMAGES
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Fully automatic preprocessing of naval images for 3D reconstruction
ORIENTATION STRATEGIES FOR AERIAL OBLIQUE IMAGES
TOWARDS EFFICIENCY OF OBLIQUE IMAGES ORIENTATION
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AUTOMATIC SHIP DETECTION IN SINGLE-POL SAR IMAGES USING TEXTURE FEATURES IN ARTIFICIAL NEURAL NETWORKS
Automatic recognition of texture in Renaissance music
AUTOMATIC BUILDING OUTLINING FROM MULTI-VIEW OBLIQUE IMAGES
POWER TRANSMISSION LINE RECONSTRUCTION FROM SEQUENTIAL OBLIQUE UAV IMAGES
HIERARCHICAL REPETITION EXTRACTION FOR BUILDING FAÇADE RECONSTRUCTION FROM OBLIQUE AERIAL IMAGES
Reconstruction and simplification of urban scene models based on oblique images
Fully automatic preprocessing of naval images for 3D reconstruction
ORIENTATION STRATEGIES FOR AERIAL OBLIQUE IMAGES
TOWARDS EFFICIENCY OF OBLIQUE IMAGES ORIENTATION
Oblique Split Technique in Septal Reconstruction
Automatic texture analysis using neural networks
Efficient Texture Analysis of Binary Images
AUTOMATIC SHIP DETECTION IN SINGLE-POL SAR IMAGES USING TEXTURE FEATURES IN ARTIFICIAL NEURAL NETWORKS