Q1: Remote sensing Unmixing an image assumes that your endmembers are “pure”, me
ID: 116796 • Letter: Q
Question
Q1: Remote sensing
Unmixing an image assumes that your endmembers are “pure”, meaning that for each endmember there exists at least 1 pixel in the image that only includes that endmember and not a mixture with other materials. Is this a realistic assumption? Does it depend on the image? Make sure you expand you answer to show your rationale.
Note:
The purpose of linear unmixing is to find the relative contribution of each endmember for every pixel in an image.
The spectral unmixing process is used to estimate the abundance of a suite of endmember spectra that best reproduce an observed reflectance spectrum.
The underlying assumption is that each pixel consists of a finite number of spectrally distinct endmembers and that these are present in the endmember set used for unmixing
The outcome is a suite of abundance (fraction) images for each endmember
Explanation / Answer
Unmixing an image assumes that your endmembers are “pure”, meaning that for each endmember there exists at least 1 pixel in the image that only includes that endmember and not a mixture with other materials.
yes this is a realistic assumption.
yes, it depends upon the image.
hyperspectral images have generally low resolution and it is possible for one pixl in the image to contain several materialspectral unmixing is the process to determine the abundance of representative material in a single pixel.
Related Questions
Navigate
Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.