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Updated: Jan 28, 2026

Volume Segmentation and Analysis of Biological Materials Using SuRVoS Super-region Volume Segmentation Workbench
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在无人机沙漠图像中精确分类植被,使用HSV-GLCM特征和SVM分类

Thani Jintasuttisak1, Patompong Chabplan1, Sasitorn Issaro1

  • 1Department of Computer Innovation and Digital Industry, Faculty of Industrial Technology, Nakhon Si Thammarat Rajabhat University, Nakhon Si Thammarat 80280, Thailand.

Journal of imaging
|January 27, 2026
PubMed
概括

本研究介绍了一种机器学习方法,用于在沙漠环境的无人机图像中进行强大的绿色植被细分. 该方法有效地应对阴影和稀疏植被等挑战,改善精准农业.

关键词:
GLCM的质地特征是GLCM的质地特征.在HSV的颜色空间中.无人机拍摄的图像来自于无人机.支持矢量机器的支持矢量机器.植被细分 植物细分 植物细分

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