Comparative Analysis of Detectors and Feature Descriptors for Multispectral Image Matching in Rice Crops

Comparative Analysis of Detectors and Feature Descriptors for Multispectral Image Matching in Rice Crops

Precision agriculture has greatly benefited from advances in machine vision and image processing techniques. The use of feature descriptors and detectors allows to find distinctive keypoints in an image and the use of this approach for agronomical applications has become a widespread field of study....

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Bibliographic Details
Main Authors: Manuel G. Forero, Claudia L. Mambuscay, María F. Monroy, Sergio L. Miranda, Dehyro Méndez, Milton Orlando Valencia, Michael Gomez Selvaraj
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Plants
Subjects:
image processing
feature detector
feature descriptor
Brute Force matching
FLANN matching
multispectral images
Online Access:https://www.mdpi.com/2223-7747/10/9/1791

Internet

https://www.mdpi.com/2223-7747/10/9/1791

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