The framework of this study is focused on automatic fast recognition of agricultural interest for TerraSAR-X images. The intended goal is to label regions in an image as fast as possible, into classes significant for a given application, like crop classification. First, a filtering technique is applied to obtain the restored image. Then, two different methods of unsupervised segmentation are used. The Otsu's method which is based on the optimum threshold of histogram and the k-means method which is based on the Euclidean distance.
['E. Bratsolis']
Unsupervised segmentation of agricultural regions using TerraSAR-X images