Comparison of Supervised Classifiers and Image Features for Crop Rows Segmentation on Aerial Images-Reference-Cited by-同舟云学术

Comparison of Supervised Classifiers and Image Features for Crop Rows Segmentation on Aerial Images

Published:2020-02-04 Issue:4 Volume:34 Page:271-291
ISSN:0883-9514
Container-title:Applied Artificial Intelligence
language:en
Short-container-title:Applied Artificial Intelligence

Author:

César Pereira Júnior Paulo¹²,Monteiro Alexandre²³,Da Luz Ribeiro Rafael²,Sobieranski Antonio Carlos²⁴,Von Wangenheim Aldo¹²

Affiliation:

1. Computer Science Post Graduate Program - PPGCC, Federal University of Santa Catarina, Florianopolis, Santa Catarina, Brasil

2. Brazilian Institute for Digital Convergence - INCoD, Department of Informatics and Statistics (INE), Federal University of Santa Catarina (UFSC), Florianopolis, Santa Catarina, Brasil

3. Automation and Systems Engineering Post-Graduate Program - DAS, Federal University of Santa Catarina, Florianopolis, Santa Catarina, Brasil

4. Department of Computing - DEC, Federal University of Santa Catarina, Ararangua, Santa Catarina, Brasil

Publisher

Informa UK Limited

Subject

Artificial Intelligence

Link

https://www.tandfonline.com/doi/pdf/10.1080/08839514.2020.1720131

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1. RGB and multispectral UAV image fusion for Gramineae weed detection in rice fields

2. Improving Graph-Based Image Segmentation Using Nonlinear Color Similarity Metrics

3. Hybrid Color Segmentation Method Using a Customized Nonlinear Similarity Function

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