NASA Logo

NTRS

NTRS - NASA Technical Reports Server

Back to Results
Spatial/Spectral Identification of Endmembers from AVIRIS Data using Mathematical MorphologyDuring the last several years, a number of airborne and satellite hyperspectral sensors have been developed or improved for remote sensing applications. Imaging spectrometry allows the detection of materials, objects and regions in a particular scene with a high degree of accuracy. Hyperspectral data typically consist of hundreds of thousands of spectra, so the analysis of this information is a key issue. Mathematical morphology theory is a widely used nonlinear technique for image analysis and pattern recognition. Although it is especially well suited to segment binary or grayscale images with irregular and complex shapes, its application in the classification/segmentation of multispectral or hyperspectral images has been quite rare. In this paper, we discuss a new completely automated methodology to find endmembers in the hyperspectral data cube using mathematical morphology. The extension of classic morphology to the hyperspectral domain allows us to integrate spectral and spatial information in the analysis process. In Section 3, some basic concepts about mathematical morphology and the technical details of our algorithm are provided. In Section 4, the accuracy of the proposed method is tested by its application to real hyperspectral data obtained from the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) imaging spectrometer. Some details about these data and reference results, obtained by well-known endmember extraction techniques, are provided in Section 2. Finally, in Section 5 we expose the main conclusions at which we have arrived.
Document ID
20020045173
Acquisition Source
Goddard Space Flight Center
Document Type
Conference Paper
Authors
Plaza, Antonio
(Universidad de Extremadura Badajoz, Spain)
Martinez, Pablo
(Universidad de Extremadura Badajoz, Spain)
Gualtieri, J. Anthony
(NASA Goddard Space Flight Center Greenbelt, MD United States)
Perez, Rosa M.
(Universidad de Extremadura Badajoz, Spain)
Date Acquired
August 20, 2013
Publication Date
December 1, 2001
Publication Information
Publication: Proceedings of the Tenth JPL Airborne Earth Science Workshop
Subject Category
Earth Resources And Remote Sensing
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
Document Inquiry

Available Downloads

There are no available downloads for this record.
No Preview Available