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....
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: | |
Online Access: | https://www.mdpi.com/2223-7747/10/9/1791 |
Similar Items
-
Visible Spectrum and Infra-Red Image Matching: A New Method
by: Sajid Saleem, et al.
Published: (2020-02-01) -
Feature Matching and Position Matching Between Optical and SAR With Local Deep Feature Descriptor
by: Yun Liao, et al.
Published: (2022-01-01) -
Local Deep Descriptor for Remote Sensing Image Feature Matching
by: Yunyun Dong, et al.
Published: (2019-02-01) -
Local Feature Descriptor for Image Matching: A Survey
by: Chengcai Leng, et al.
Published: (2019-01-01) -
Research on Image Matching of Improved SIFT Algorithm Based on Stability Factor and Feature Descriptor Simplification
by: Liang Tang, et al.
Published: (2022-08-01)