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Content Provider | IEEE Xplore Digital Library |
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Author | Delenne, C. Rabatel, G. Deshayes, M. |
Copyright Year | 2004 |
Abstract | The availability of an automatic tool for vine plot detection, delineation, and characterization would be very useful for management purposes. An automatic and recursive process using frequency analysis (with Fourier transform and Gabor filters) has been developed to meet this need. This results in the determination of vine plot boundary determination and accurate estimation of interrow width and row orientation. To foster large-scale applications, tests and validation have been carried out on standard very high spatial resolution remotely sensed data. About 89% of vine plots are detected corresponding to more than 84% of vineyard area, and 64% of them have correct boundaries. Compared with precise on-screen measurements, vine row orientation and interrow width are estimated with an accuracy of 1deg and 3.3 cm, respectively. |
Sponsorship | IEEE Geoscience and Remote Sensing Society |
Starting Page | 341 |
Ending Page | 345 |
Page Count | 5 |
File Size | 723435 |
File Format | |
ISSN | 1545598X |
Volume Number | 5 |
Issue Number | 3 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2008-07-01 |
Publisher Place | U.S.A. |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Frequency Remote sensing Gabor filters Shape Crops Fourier transforms Large-scale systems Testing Spatial resolution Image segmentation vineyard Detection frequency analysis remote sensing segmentation |
Content Type | Text |
Resource Type | Article |
Subject | Electrical and Electronic Engineering Geotechnical Engineering and Engineering Geology |
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