- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
-
ON VOLUME DATA REDUCTION FOR LIDAR DATASETS ; volume:XLII-4 ; year:2018 ; pages:41-44
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ; XLII-4 (2018), 41-44
- Creator
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Becek, K.
Boguslawski, P.
- DOI
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10.5194/isprs-archives-XLII-4-41-2018
- URN
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urn:nbn:de:101:1-2018092004572282179786
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:21 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
- Becek, K.
- Boguslawski, P.
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COMBINED MULTIPLE CLASSIFIED DATASETS CLASSIFICATION APPROACH FOR POINT CLOUD LIDAR DATA
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Estimating Forest Stock Volume Based on Airborne Lidar Data
BUILDING-LEVEL POPULATION ESTIMATION USING LIDAR-DERIVED BUILDING VOLUME DATA
Automated Alphabet Reduction for Protein Datasets
Image analysis in volume SEM datasets
Data mining for classification of high volume dense lidar data in an urban area
A DIMENSION REDUCTION-BASED METHOD FOR CLASSIFICATION OF HYPERSPECTRAL AND LIDAR DATA
REDUCTION OF STRIPING NOISE IN OVERLAPPING LIDAR INTENSITY DATA BY RADIOMETRIC NORMALIZATION
APPLICATION OF TREE DETECTION METHODS OVER LIDAR DATA FOR FOREST VOLUME ESTIMATION
GEOREFERENCING UAS DERIVATIVES THROUGH POINT CLOUD REGISTRATION WITH ARCHIVED LIDAR DATASETS
Fusion of hyperspectral and lidar data based on dimension reduction and maximum likelihood
COMBINED MULTIPLE CLASSIFIED DATASETS CLASSIFICATION APPROACH FOR POINT CLOUD LIDAR DATA
FOREST STEM VOLUME CALCULATION USING AIRBORNE LIDAR DATA
Estimating Forest Stock Volume Based on Airborne Lidar Data
BUILDING-LEVEL POPULATION ESTIMATION USING LIDAR-DERIVED BUILDING VOLUME DATA
Automated Alphabet Reduction for Protein Datasets
Image analysis in volume SEM datasets
Data mining for classification of high volume dense lidar data in an urban area
A DIMENSION REDUCTION-BASED METHOD FOR CLASSIFICATION OF HYPERSPECTRAL AND LIDAR DATA
REDUCTION OF STRIPING NOISE IN OVERLAPPING LIDAR INTENSITY DATA BY RADIOMETRIC NORMALIZATION
APPLICATION OF TREE DETECTION METHODS OVER LIDAR DATA FOR FOREST VOLUME ESTIMATION
GEOREFERENCING UAS DERIVATIVES THROUGH POINT CLOUD REGISTRATION WITH ARCHIVED LIDAR DATASETS