Digital images and their application to land use classification

摘要

For many Remote Sensing users, classification is the decisive stage of digital image analysis. Digital classification provides cartography and an inventory of the categories that are the object of study. In this paper we analyse a sector of the Natural Park of the Sierra de Mariola (Spain), with the aim of using two digital image classification procedures: supervised and unsupervised classification. We measure the reliability of the classification. The results obtained in the treatment of the image, along with the field data enable us to obtain accurate cartography of the area.