Experiments show that the improved ICA algorithm decreases iterations by 26% with the considerable spectral classification effect to the traditional algorithm, and improves the separation efficiency of independent component, thus it is an effective crop spectral classification method.
实验证明，改进的ICA算法在与传统算法作物光谱分类效果相当的情况下，迭代次数减少26%，提高了独立分量的分离效率，是一种有效的作物光谱分类方法。
参考来源 - 改进ICA算法及其在作物光谱分类中的应用·2,447,543篇论文数据，部分数据来源于NoteExpress
The logic function classification with spectral coefficients is discussed and the definition of characteristic threshold logic function is given.
讨论了逻辑函数的谱系数分类，给出了特征阈值逻辑函数的定义。
In this paper, we studied the spectral character of our study region in detail and based our classification system on the spectral character and our filed work.
仔细分析了研究区典型地物的光谱特征和同物异谱与异物同谱现象，并结合实地考察建立了分类体系。
Compared with the classification method purely based on spectral character, this method can improve the classification accuracy and refine object classes in some extent.
与单纯基于光谱特征的分类方法进行比较，该方法在一定程度上改善了分类精度，细化了地物类别。
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