Abstract: Distributed image classification model based on grid and support vector machine is put forward in this paper to make full use of grid characteristic，such as distribution，high-performance and collaborative sharing capabilities etc.New model utilizes grid computing technology，plans as a whole of network computing resources，combines with statistic classification advantage of support vector machine in finite sample space，probes into application of grid computation technology in image classification.Taking characteristic extraction of interesting ground object from RS（Remote Sensing） images as the example，image classification process based on distribution computation is implemented.Experimental results based on .Net environment show that new model improves classification speed and efficiency of data-intensive images.