What is spectral endmember?
Spectral unmixing is the process of decomposing the spectral signature of a mixed pixel into a set of endmembers and their corresponding abundances.
What is endmember extraction?
Ideally, an endmember is defined as a spectrally unique, idealized and pure signature of a surface material. Extraction of consistent and desired endmember is one of the important criteria to achieve the high accuracy of hyperspectral data classification and spectral unmixing.
Why end members are called pure pixels?
As described in [5], “a hyperspectral endmember (also known as ‘pure pixel’) is an idealized, pure signature of a spectral class.” The pure spectral signature signifies the complete reflectance of pixel exclusively occupied by a single surface material.
What is end member in remote sensing?
The development of hyperspectral remote sensing techniques will help to resolve the problem of mixed pixels. It is usu- ally assumed that there are some pixels (known as endmember) that include only one ground object in their image, and the process of finding these endmembers is referred to endmember extraction.
What is the meaning of endmember?
An endmember (also end-member or end member) in mineralogy is a mineral that is at the extreme end of a mineral series in terms of purity. Minerals often can be described as solid solutions with varying compositions of some chemical elements, rather than as substances with an exact chemical formula.
What is spectral Unmixing?
Spectral unmixing is the procedure by which the measured spectrum of a mixed pixel is decomposed into a collection of constituent spectra, or endmembers, and a set of corresponding fractions or abundances that indicate the proportion of each endmember present in the pixel (Keshava 2003. 2003.
Why is spectral signature important?
Spectral signatures, which are simply plots of the spectral reflectance of an object as a function of wavelength [15], provide important qualitative and quantitative information for image classification. Therefore, spectral signatures are the basis for classifying remotely sensed data.
