The remote sensing images from GF-1 satellite in 2013 and 2014 were used to detect the land use changes of the coastal zone in Haiyan County, Zhejiang Province. Two detective methods were compared through the pixel-based and object-oriented changes. In the pixel-based land use change detection, the multi-band difference and ratio methods were used to detect the land use changes based on multi-spectral and fusion images. In the object-oriented land use change detection, the effect of multi-spectral and fusion images were researched using multi-band difference and ratio methods on the single-level and multi-level. On this basis, the detection results of human activities region combined with shape features were analyzed. In addition, the change vector analysis (CVA) was adopted to conduct land use change detection basing on the multi-spectral and fusion images. The results showed that the overall accuracy of object-oriented land use change detection was 86.29%, and Kappa coefficient was 0.72, which were better than those of the pixel-based land use change detection. In the object-oriented land use change detection, the detection results of multi-level multi-band difference and ratio methods which using fusion image were the best, and they were better than those of CVA. And in the pixel-based land use change detection, the results of multi-band difference method which used fusion image were better than those of the other methods.