Synthesis Performance Evaluation of Multi-Sensor Image Fusion

Abstract

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.