A multi-probe based multispectral fluorescence imaging sensor was developed to visually discriminate odor sources in environment. The sensing mechanism was based on the complicated fluorescence interactions of between the multi-probes and the probes with odor molecules. The fluorescence change of a probes-containing gel film caused by odorant substances was recorded by CCD camera to visualize the shape of odor source. In this work, odor sources with complicated shapes were used to investigate the spatial resolution of the imaging sensor. The result demonstrated that the spatial resolution of our sensor has discrimination ability higher than 5 mm. In addition, the concentration estimation of each odorant in mixed odor sources was attempted. By using principle component analysis (PCA) and multiple regression analysis, the individual concentration of an acid/aldehyde mixed odor sources was analyzed successfully.