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采用AMEE-PPI方法从GF-5高光谱图像中提取典型的外露端子

Lin Hu1, Jiankai Hu1, Shu Gan1

  • 1Faculty of Land and Resources Engineering, Kunming University of Science and Technology, Kunming 650093, China.

Sensors (Basel, Switzerland)
|October 16, 2025
PubMed
概括

一种新的混合方法AMEE-PPI通过将光谱纯度与空间上下文相结合,改善了从高光谱图像中提取末端成员的方法. 这种方法通过提供更清洁,更准确的光谱数据来增强地质解释.

关键词:
AMEE-PPI终端成员提取算法在GF-5中,GF-5是最重要的.超光谱图像的使用在外露口的外露口.

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