Based on the multi-objective optimization method, an optimal filter with good values for each evaluation parameter is obtained. This is achieved according to the cumulative scoring method of optimal ordering for several parameters often used to evaluate the performance of multi-spectral cameras such as peak signal to noise ratio (PNSR), goodness of fit coefficient (GFC), CIE color difference index(CIEDE2000) and mean square error (MSE) and their corresponding maximum or minimum values. Compared with the previous study, the number of filters to be selected increases from 45 to 1035; however, the number of reflectivity samples of the imaging scene increases from 24 to 1269. The results show that the performance of the optimal filter is better when the number of filters and the reflectivity vector space increase. At the same time, the values of the three parameters of the spectral transmittance vector matrix of the optimal filter, namely the condition number (Cond), the peak uniformity index (UF), and the adjacent filter overlap index (OLP), are also more stable. The experimental results can provide a reference for the quantitative selection of wideband multispectral filters via the vector matrix of the filter.