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Tang et al., 2014 - Google Patents

Accuracy test of point-based and object-based urban building feature classification and extraction applying airborne LiDAR data

Tang et al., 2014

Document ID
4215036244009872262
Author
Tang T
Dai L
Publication year
Publication venue
Geocarto international

External Links

Snippet

Point-based and object-based building extractions were conducted in airborne LiDAR data in a sample area of Buffalo, New York. First, the earth surface points were filtered from the entire laser scan data set using a new filtering algorithm, which combines the TIN slope …
Continue reading at www.tandfonline.com (other versions)

Classifications

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    • G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • G06K9/0063—Recognising patterns in remote scenes, e.g. aerial images, vegetation versus urban areas
    • G06K9/00657—Recognising patterns in remote scenes, e.g. aerial images, vegetation versus urban areas of vegetation
    • G—PHYSICS
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    • G06K9/46—Extraction of features or characteristics of the image
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    • G06T2207/10032—Satellite or aerial image; Remote sensing
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    • G06F17/30244—Information retrieval; Database structures therefor; File system structures therefor in image databases
    • G06F17/30247—Information retrieval; Database structures therefor; File system structures therefor in image databases based on features automatically derived from the image data
    • G—PHYSICS
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    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30181—Earth observation
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    • G06F17/30241—Information retrieval; Database structures therefor; File system structures therefor in geographical information databases
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