DETECTING AND COUNTING ORCHARD TREES ON UNMANNED AERIAL VEHICLE (UAV)-BASED IMAGES USING ENTROPY AND NDVI FEATURES

Multispectral images were acquired by a camera on board an Unmanned Aerial Vehicle (UAV) over two apple orchards in Prince Edward Island in summer 2016. A method was developed to automatically detect rows of planted trees and trees in each row using the normalized difference vegetation index (NDVI)...

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Bibliographic Details
Main Authors: Haddadi, A., Leblon, B., Patterson, G.
Format: Conference Proceeding
Language:English
Subjects:
Entropy
Image acquisition
Normalized difference vegetative index
Orchards
Position measurement
Trees
Unmanned aerial vehicles
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Summary:Multispectral images were acquired by a camera on board an Unmanned Aerial Vehicle (UAV) over two apple orchards in Prince Edward Island in summer 2016. A method was developed to automatically detect rows of planted trees and trees in each row using the normalized difference vegetation index (NDVI) image and its related entropy and variance images. The image-based tree position was then compared to the actual tree location measured in the field. We achieved an accuracy of 93% between the estimated and measured number of trees in both orchards.
ISSN:2194-9034
1682-1750
2194-9034
DOI:10.5194/isprs-archives-XLIII-B2-2020-1211-2020