Previous methods for representing scene images based on deep learning primarily consider either the foreground or background information as discriminating clues classification task. However, also require additional (hybrid) to cope with inter-class similarity and intra-class variation problems. In this paper, we propose use hybrid features in addition represent images. We suppose that these thr...

The increasing applications of polarimetric synthetic aperture radar (PolSAR) image classification demand for effective superpixels’ algorithms. Fuzzy algorithms reduce the misclassification rate by dividing pixels into superpixels, which are groups homogenous appearance and undetermined pixels. However, two key issues remain to be addressed in designing a fuzzy superpixel algorithm PolSAR clas...