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| 科研成果 |
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| 论文题目： |
Navigation feature extraction method for rice pickup harvester using support vector machine |
| 第一作者： |
Bai XP(白晓平);Wang Z(王卓);Hu JT(胡静涛);Liu ZX(刘知祥);Gao L(高雷) |
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| 发表刊物： |
International Agricultural Engineering Journal |
| 发表年度： |
2017 |
| 卷,期,页： |
26,2,96-102 |
| 论文出处： |
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| 论文摘要： |
1n order to solve the navigation feature extraction problem of rice pickup harvester, a navigation feature extraction method based on support vector machine (SVM) was proposed. Firstly, this paper outlined the problem of navigation baseline extraction, and made it clear which region is the navigation feature region needs to extract. Secondly, support vector machine (SVM) was chosen to design the classifier. A lot of sample points were selected from multiple 日l 巳d images to construct the training sample set, and an optimal classifier was obtained by training sample set. Finally, the comparative experiments were carried out. The experimental results showed that, the proposed m巳thod could quickly and accurately extract the navigation feature. The time consumption for single image was about 54.80 ms. Compared with OSTU feature extraction method, the proposed method had the advantages of high accuracy and good robustness. |
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