The use of texture for image classification of black white air-photographs

摘要

The use of black & white air photographs for the production of historic land cover maps can be done by image classification, using additional texture features. In this paper we evaluate the importance of a number of parameters in the image classification process based on texture, such as the quantization level, the window size used to produce the texture features, the feature selection criteria and the image spatial resolution. The evaluation was performed using 4 photographs from the 1950s. The influence of the classification method, the number of classes searched for in the images and the post-processing tasks were also investigated. The importance of each of these parameters for the classification accuracy was evaluated by cross validation. The selection of the best parameters was performed based on the validation results, and also on the computation load involved for each case and the end user requirements. An average accuracy of 85.2% was achieved for 4 land cover classes.