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Multispectral image labeling using radiometric attribute vectors of image space representation components

机译:使用图像空间表示组件的辐射属性矢量进行多光谱图像标记

摘要

Automatic characterization or classification of a portion of an input multispectral image based on a selected reference multispectral image. The set of radiometric descriptors (eg, vectors) for each component pixel in the hierarchical representation of the input multispectral image can be collectively manipulated to obtain a set of radiometric descriptors for that component. Each component is obtained by comparing (eg, mining material, crops, etc.) of at least one reference multispectral image (eg, mine material, crop, etc.) through a comparison of the set of component radiometric descriptors and the set of radiometric descriptors for the reference multispectral image. (Relative) can be labeled as positive or negative cases. A pixel may be labeled (eg, by color, pattern, etc.) as a positive or negative case of the land use or land type of the reference multispectral image in the resulting image based on the component in which the pixel is found.
机译:基于所选参考多光谱图像对输入多光谱图像的一部分进行自动表征或分类。输入多光谱图像的分层表示中的每个分量像素的放射线描述符(例如,矢量)的集合可以被共同地操纵以获得该分量的放射线描述符的集合。通过比较组分辐射度描述符集合和辐射度集合对至少一个参考多光谱图像(例如矿物质,作物等)进行比较(例如,开采材料,农作物等)来获得每个组分。参考多光谱图像的描述符。 (相对)可以标记为阳性或阴性病例。可以基于找到像素的成分,将像素标记为(例如,通过颜色,图案等)作为所得多幅图像中参考多光谱图像的土地利用或土地类型的正例或负例。

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