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Chen et al., 2020 - Google Patents

Improved fast r-cnn with fusion of optical and 3d data for robust palm tree detection in high resolution uav images

Chen et al., 2020

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Document ID
7840647591335843879
Author
Chen Z
Liao I
Liao I
Publication year
Publication venue
International Journal of Machine Learning and Computing

External Links

Snippet

Palm density records are crucial for fertilizer, yield and biomass estimation. Traditionally, workers have to count the number of standing palms on the ground, which is physically arduous and costly. Remote sensing imageries such as unmanned aerial vehicle (UAV) …
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Classifications

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    • G06K9/46—Extraction of features or characteristics of the image
    • G—PHYSICS
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    • G06K9/62—Methods or arrangements for recognition using electronic means
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    • G06K9/6256—Obtaining sets of training patterns; Bootstrap methods, e.g. bagging, boosting
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    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6201—Matching; Proximity measures
    • G06K9/6202—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
    • G—PHYSICS
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