Study of an Auto-testing Method for Data Fusion Evaluation System
Qiu Hairong, Xia Zhu, Yongsheng Yu · 2012
Considering the important role of data fusion evaluation system in testing, we propose a systematic auto-testing method to validate its function and performance. We also present some practical examples to illustrate the operation principle of the method. Based on abundant auto-testing, the experimental results show that the data fusion evaluation system can acquire a higher detecting precision and a superior validity when evaluating the target data fusion systems with our method.