Pyramid linking for satellite image classification

Proposes the use of pyramid linking as a preprocessing method for supervised classification of satellite images. Pyramid linking is a simple and efficient algorithm not only for spatial segmentation but also for data compression. As the supervised classification can be applied to the compressed data that holds the averaged values of pixels in the segment, it is expected to improve accuracy as well as computational efficiency. Using a dataset developed by TOKAI University for the verification of classification methods, performances of the proposed method are investigated. It is shown that the method is effective when the number of classes is large as in the actual classification situation