Mapping of visible to IR data for scene matching

M. A. Chaudhry, A. Baig, R. Nawaz
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Abstract

Scene matching has become a challenging problem due to multi-temporal and multi-modal image acquisition. There is no direct and linear relation between EO (Electro-optical) and IR (Infra-red) images, which are required to be matched. In this paper, we propose a statistical technique of mapping EO to IR data by transformation function deduced from their gray level distribution. As the proposed technique is statistical and deals with multi-modal data, MI index (Mutual Information) and its variants are more appropriate similarity measures in this case. Therefore, we have used mutual information as a measure of statistical dependence between the two images. Results of MI shows that technique is effective in mapping visible to IR spectrum.
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映射可见到IR数据的场景匹配
由于多时间和多模态的图像采集,场景匹配成为一个具有挑战性的问题。EO (Electro-optical)和IR (infrared)图像之间没有直接的线性关系,需要进行匹配。本文提出了一种利用灰度分布推导出的变换函数将EO数据映射到IR数据的统计方法。由于所提出的技术是统计性的,并且处理多模态数据,因此MI指数(互信息)及其变体在这种情况下是更合适的相似性度量。因此,我们使用互信息作为两个图像之间统计依赖性的度量。结果表明,该技术在可见光到红外光谱的映射中是有效的。
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