The color fusion image quality based on scene understanding measures the complexity of observers accurately understanding scene content through fused images,which is usually obtained through subjective assessment.In order to improve the stability of the subjective assessment,the abstract concept of color fusion image quality based on scene understanding was concretized into two performance indicators:segmentation of regions and discrimination of objects.Taking village scenes as example,15 people were organized to subjectively assess the quality of 42 color fusion images of the village scenes without thermal targets.The subjective scores were analyzed by using structural equation model.The prediction model of color fusion image quality based on scene understanding was established and the correctness of the model was verified.The results show that the color fusion image quality based on scene understanding in village scenes can be predicted by two factors of color harmony and color naturalness,and the image quality is more manifested in the performance of discrimination of objects.