Image classification by support vector machines

Support vector machines are used to classify plane targets on a binary remote sensing. The experimental results have shown that support vector machines can generalize well on difficult image classification problems where the only features are high dimensional binary values. Moreover, we observed that the range of the binary values of images affect the performance of classification results.