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Yancho et al., 2019 - Google Patents

Fine-scale spatial and spectral clustering of UAV-acquired digital aerial photogrammetric (DAP) point clouds for individual tree crown detection and segmentation

Yancho et al., 2019

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Document ID
6123983100705530554
Author
Yancho J
Coops N
Tompalski P
Goodbody T
Plowright A
Publication year
Publication venue
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

External Links

Snippet

The field of remote sensing is undergoing rapid changes through the utilization of unmanned aerial vehicle (UAV) technology. The rise of this new technology and the corresponding growth in the application of digital aerial photogrammetric point clouds (DAP) …
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Classifications

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    • 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
    • GPHYSICS
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    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10032Satellite or aerial image; Remote sensing
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    • G06K9/32Aligning or centering of the image pick-up or image-field
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    • G06K9/00624Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • G06K9/00664Recognising scenes such as could be captured by a camera operated by a pedestrian or robot, including objects at substantially different ranges from the camera
    • G06K9/00684Categorising the entire scene, e.g. birthday party or wedding scene
    • G06K9/00697Outdoor scenes
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    • G06F17/30244Information retrieval; Database structures therefor; File system structures therefor in image databases
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