Hybrid Segmentation – Artificial Neural Network Classification of High Resolution Hyperspectral Imagery for Site-Specific Herbicide Management in Agriculture-Reference-Cited by-同舟云学术

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Hybrid Segmentation – Artificial Neural Network Classification of High Resolution Hyperspectral Imagery for Site-Specific Herbicide Management in Agriculture

Published:2008-10-01 Issue:10 Volume:74 Page:1249-1257
ISSN:0099-1112
Container-title:Photogrammetric Engineering & Remote Sensing
language:en
Short-container-title:photogramm eng remote sensing

Author:

Eddy P.R.,Smith A.M.,Hill B.D.,Peddle D.R.,Coburn C.A.,Blackshaw R.E.

Publisher

American Society for Photogrammetry and Remote Sensing

Subject

Computers in Earth Sciences

Cited by 19 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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2. A systematic review of hyperspectral imaging in precision agriculture: Analysis of its current state and future prospects;Computers and Electronics in Agriculture;2024-07

3. Identification of species of the genus Acer L. using vegetation indices calculated from the hyperspectral images of leaves;Remote Sensing Applications: Society and Environment;2022-01

4. Precision Farming in Modern Agriculture;Transactions on Computer Systems and Networks;2021

5. A Fast and Effective Method for Unsupervised Segmentation Evaluation of Remote Sensing Images;Remote Sensing;2020-09-15

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