多传感器图像融合效果综合评价研究

针对图像融合效果评价问题,利用灰色关联分析的小样本特性和整体比较机制,结合先验知识和量化评价,提出了一种基于多层次灰色关联分析的图像融合效果综合评价方法,评价结果易于定量表示,更加精确、客观,区分度大、可靠性高.该方法不仅可以从整体上进行综合评价,还可以从某个侧面进行特殊性需要的评价,兼顾了实际评价工作中的通用性和特殊性要求.实验结果表明,该评价方法具有较好的实时性和准确性,对于实现具有反馈的图像融合过程,进一步丰富和完善图像融合理论框架具有启发意义和实用价值.

Synthesis Performance Evaluation of Multi-Sensor Image Fusion

To resolve the evaluation issue of image fusion,this paper proposes a novel multi-hierarchical synthesis approach using the Grey Relational Analysis mechanism which has the merits of small-sized sample and unitary comparing.The proposed approach combines the apriori knowledge and quantization evaluation.This paper first gives a six-step procedure for performance evaluation of a single level of hierarchical grey relational analysis and then,based on the single level analysis,gives a four-step procedure for performance evaluation of hierarchical grey relational analysis.Therefore it gets the synthetic evaluation results,which is more quantitative and comprehensive than the conventional objective measures such as correlation coefficient and average gradient.The novel approach gives not only overall performance but also required special performance evaluation.Extensive experimental analysis shows that the proposed approach performs better on quantization,precision,objectivity,reliability and real-time.The advantages above make it apply properly to fusion system with feedback capability and it enriches and perfects the image fusion system.