Question

帮忙翻译一下这段话 谢谢

One of the most widely used techniques for analyzing hyperspectral images is spectral un-mixing, which allows for sub-pixel data characterization. This is particularly important since the available spatial resolution in hyperspectral images is typically several meters, and therefore it is reasonable to assume that several spectrally pure substances (called endmembers in hyperspectral imaging terminology) can be found within each imaged pixel. This type of processing is time-consuming and computer intensive. Multi-spectral and hyperspectral sensing was used extensively during recent large spills.

Answer 1

分析高光谱图像的最广泛使用的技术之一是谱分解，使子像素数据表征。这是特别重要的在高光谱图像的可用空间分辨率通常是几米，因此它是合理的假设，几个光谱纯物质（称为端元光谱成像术语）可以每个成像的像素内发现的。这种类型的处理是耗时的，计算密集型。多光谱和高光谱遥感是在最近的大量泄漏广泛使用。