However, there is no unified standard how to identify and classify anomaly hues of multi-spectral remote sensing data.
然而，如何识别和划分多光谱数据中的异常色调没有统一的标准。
The paper describes a real-time lossless data compression algorithm for both individual band and multi-spectral remote sensing images.
讨论了对单波段遥感图像和多波段遥感图像都适用的一种实时无失真数据压缩的方法。
Based on idiotypic immune network theory, a Regional-memory-pattern Artificial idiotypic network (RAIN) is proposed to classify multi-spectral remote sensing image.
摘要基于独特型免疫网络原理，提出了一种新型的分区记忆模式人工独特型网络模型，并利用其对卫星遥感数据进行了分类。
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