In this study a hybrid segmentation algorithm is developed to overcome over segmentation and under segmentation. The reliable segmentation results are critical for object based hyperspectral image classification using both spectral and spatial information. A multi resolution segmentation approach is adopted with further improvement. The application of the proposed procedure is demonstrated using a hyperspectral image acquired by HyMap over a complex sub-urban landscape. The results show the improvement provided by the proposed method.