Digital Images And Their Application To
Land Use Classification
Author(s)
P. Grimalt, I. Manchón, J. A. Sánchez, J. Escolano
& M. J. Pujol
Abstract
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.
Keywords: computer imaging, supervised classification, unsupervised
classification.
1 Introduction
Spatial and aerial remote sensing devices are widely available and constantly
improving in terms of their features. This fact, combined with advances in digital
imaging techniques, has led to the development of an interest in using remote
sensing techniques to study and understand the dynamic evolution of
ecosystems. Information obtained using these techniques greatly facilitates the
work of those who devise plans for managing, conserving and exploiting the
resources of a region.
The Sierra de Mariola is a mountain range located in Spain, in the south-western
part of the Iberian Peninsula. It straddles the provinces of Alicante and
Valencia, extends over the counties of Vall d’Albaida, El Comtat and L’Alcoiá
Keywords
computer imaging, supervised classification, unsupervised
classification.
Related Book
Other papers in this volume
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