Hyperspectral imagery feature extraction and classification is approached by combining with nation's 863-708 project and corresponding scientific assignments.
结合国家863 - 708计划项目和相关科研课题，本论文探讨了高光谱影像特征提取与分类问题。
A simplified algorithm of nonlinear principal curves called nonlinear principal poly line is developed and its effect for feature extraction of hyperspectral data is researched.
并对非线性主折线算法用于高光谱遥感数据特征提取的效果进行研究和讨论。
Feature extraction is an indispensable preprocessing step for large and high redundancy data of hyperspectral remote sensing image.
针对高光谱遥感影像数据量大、数据冗余度高的特点，引入拉普拉斯特征映射方法对高光谱遥感数据进行非线性降维。
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