Multispectral Classification of Remote Sensing Imagery for Archaeological Land Use Analysis: Prospective Study
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Fecha
2010-07
Autores
Villalón-Turrubiates, Iván E.
Llovera-Torres, María J.
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Institute of Electrical and Electronics Engineers
Resumen
Descripción
Much of human history can be traced through the impacts of human actions upon the environment. The use of remote sensing technology offers the archeologist the opportunity to detect these impacts which are often invisible to the naked eye. The extraction of remote sensing signatures from a particular geographical region allows the generation of geophysical signature maps; this can be achieved using an accurate and recently developed multispectral image classification approach based on pixel statistics for the class description, which is referred to as the Weighted Pixel Statistics method. This paper presents the prospective study of the effectiveness that this approach provides for supervised segmentation and classification of sensed archaeological signatures for land use analysis. The results obtained with this study uses real multispectral scenes obtained with remote sensing techniques (high-resolution synthetic aperture radar) to probe the efficiency of the classification technique.
Palabras clave
Remote Sensing, Multispectral Data, Multispectral Image Classification, Weighted Pixel Statistics, Archaeological Land Use
Citación
Iván E. Villalón-Turrubiates y María J. Llovera-Torres, “Multispectral Classification of Remote Sensing Imagery for Archaeological Land Use Analysis: Prospective Study”, in Proceedings of the 2010 IEEE International Geoscience and Remote Sensing Symposium (IGARSS): Global Vision for Local Action, Honolulu, Hawaii, 2010, pp. 323-326.