Automatic identification of end-members for the spectral decomposition of remotely sensed scenes

Fabio Maselli; Maurizio Pieri; Claudio Conese

doi:10.1117/12.262456

31 December 1996 Automatic identification of end-members for the spectral decomposition of remotely sensed scenes

Fabio Maselli, Maurizio Pieri, Claudio Conese

Proceedings Volume 2960, Remote Sensing for Geography, Geology, Land Planning, and Cultural Heritage; (1996) https://doi.org/10.1117/12.262456
Event: Satellite Remote Sensing III, 1996, Taormina, Italy

Abstract

Several methods have been proposed for the extraction of latent information from multispectral remotely sensed scenes based on the definition of indices and rotational transformations. A common drawback of these techniques is that they are ultimately based only on statistical relationships among pixel values rather than on physical characteristics of the scenes. Linear pixel unmixing is an alternative method which assumes that the pixel signal is the linear combination of some basic spectral components the fractions of which can be retrieved with good approximation. The method is straightforward and produces results which can be easily interpreted, but presents the problem of the identification of suitable end-members, which generally requires some external knowledge. In order to overcome this problem, in the present research a statistical method is developed for the automatic identification of end-members. This methodology is composed by several steps, that are describe and then applied to a case study with a Landsat 5 TM scene from Central Ethiopia (Africa). The results, evaluated in comparison with those of a more usual principal component transformation, indicate the good performance of the new procedure.

Citation Download Citation

Fabio Maselli, Maurizio Pieri, and Claudio Conese "Automatic identification of end-members for the spectral decomposition of remotely sensed scenes", Proc. SPIE 2960, Remote Sensing for Geography, Geology, Land Planning, and Cultural Heritage, (31 December 1996); https://doi.org/10.1117/12.262456

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