ESTIMATION OF OPTIMAL PARAMETER FOR RANGE NORMALIZATION OF MULTISPECTRAL AIRBORNE LIDAR INTENSITY DATA
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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ESTIMATION OF OPTIMAL PARAMETER FOR RANGE NORMALIZATION OF MULTISPECTRAL AIRBORNE LIDAR INTENSITY DATA ; volume:V-3-2020 ; year:2020 ; pages:221-226
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences ; V-3-2020 (2020), 221-226
- Creator
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Kwan, M. H.
Yan, W. Y.
- DOI
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10.5194/isprs-annals-V-3-2020-221-2020
- URN
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urn:nbn:de:101:1-2020080618210869739454
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 10:59 AM CEST
Data provider
This object is provided by:
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Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Kwan, M. H.
- Yan, W. Y.
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Mapping landscape-scale peatland degradation using airborne lidar and multispectral data
FEATURE RELEVANCE ASSESSMENT OF MULTISPECTRAL AIRBORNE LIDAR DATA FOR TREE SPECIES CLASSIFICATION
FOREST STAND SEGMENTATION USING AIRBORNE LIDAR DATA AND VERY HIGH RESOLUTION MULTISPECTRAL IMAGERY
REDUCTION OF STRIPING NOISE IN OVERLAPPING LIDAR INTENSITY DATA BY RADIOMETRIC NORMALIZATION
EVALUATING THE POTENTIAL OF MULTISPECTRAL AIRBORNE LIDAR FOR TOPOGRAPHIC MAPPING AND LAND COVER CLASSIFICATION
CORRECTION OF OVERLAPPING MULTISPECTRAL LIDAR INTENSITY DATA: POLYNOMIAL APPROXIMATION OF RANGE AND ANGLE EFFECTS
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WATER MAPPING USING MULTISPECTRAL AIRBORNE LIDAR DATA
METHODS FROM INFORMATION EXTRACTION FROM LIDAR INTENSITY DATA AND MULTISPECTRAL LIDAR TECHNOLOGY
Mapping landscape-scale peatland degradation using airborne lidar and multispectral data
FEATURE RELEVANCE ASSESSMENT OF MULTISPECTRAL AIRBORNE LIDAR DATA FOR TREE SPECIES CLASSIFICATION
FOREST STAND SEGMENTATION USING AIRBORNE LIDAR DATA AND VERY HIGH RESOLUTION MULTISPECTRAL IMAGERY
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