Local Quality Improvement of Multispectral Imagery Classification with Radiometric-spatial Feedback.

The essential requirement for accurate classification is the high resolution of input images. Among known classification problems, which caused by low-resolution images, are the mixing of training samples and the absence of boundaries between objects of different classes. The mentioned above problems were reduced by imagery spatial resolution enhancement and a hybrid approach to classification, which allows unmixing training samples and improving the quality of images and their classifications.