Classification method and system of UAV hyperspectral vegetation species based on deep learning

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United States of America

PATENT NO 12260637
SERIAL NO

18640627

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The application discloses a classification method and a system of UAV hyperspectral vegetation species based on a deep learning, where the method includes the following steps: collecting hyperspectral images by a UAV; preprocessing collected hyperspectral images to obtain preprocessed images, and performing a stitching mosaicking preprocessing on the preprocessed images to obtain hyperspectral orthoimages; labeling the hyperspectral orthoimages to obtain a label data set; performing a vegetation index fusion on the hyperspectral orthoimages to obtain vegetation index-hyperspectral orthoimages; constructing a grassland vegetation classification model based on the vegetation index-hyperspectral orthoimages and the label data set, and completing a vegetation species classification by using the grassland vegetation classification model.

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Patent Owner(s)

Patent OwnerAddress
INSTITUTE OF MOUNTAIN HAZARDS AND ENVIRONMENT CHINESE ACADEMY OF SCIENCESNO 189 QUNXIAN SOUTH STREET TIANFU NEW DISTRICT CHENGDU CITY SICHUAN PROVINCE 610000 CHENGDU CITY SICHUAN PROVINCE 610000

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Luo, Yaohua Chengdu, CN 1 0
Wang, Jundi Chengdu, CN 1 0
Wang, Xiaodan Chengdu, CN 46 583
Wei, Da Chengdu, CN 16 51
Zhao, Hui Chengdu, CN 245 1011

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