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Zhao et al., 2018 - Google Patents

A comparison of LiDAR filtering algorithms in vegetated mountain areas

Zhao et al., 2018

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Document ID
2908484827955069214
Author
Zhao X
Su Y
Li W
Hu T
Liu J
Guo Q
Publication year
Publication venue
Canadian Journal of Remote Sensing

External Links

Snippet

Filtering of airborne light detection and ranging (LiDAR) data is a challenging task in vegetated mountain areas. Environmental features and LiDAR data characteristics have significant impacts on the performance of filtering algorithms. This study aims to determine …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

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    • G06K9/00624Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • G06K9/0063Recognising patterns in remote scenes, e.g. aerial images, vegetation versus urban areas
    • G06K9/00657Recognising patterns in remote scenes, e.g. aerial images, vegetation versus urban areas of vegetation
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    • G06T2207/10032Satellite or aerial image; Remote sensing
    • GPHYSICS
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    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
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