Original paper
A comparative study of signal transformation techniques in automated spectral unmixing of infrared spectra for remote sensing applications
Volume: 38, Issue: 5, Pages: 1235 - 1257
Published: Jan 31, 2017
Abstract
From geological and planetary exploration perspectives, automated sub-pixel classification of hyperspectral data is the most difficult task as it involves blind unmixing with library spectra of minerals. In this study, we demonstrate a procedure involving spectral transformation and linear unmixing to achieve the above task. For this purpose, infrared spectra of rocks from the spectral library, field, and remotely sensed hyperspectral image cube...
Paper Details
Title
A comparative study of signal transformation techniques in automated spectral unmixing of infrared spectra for remote sensing applications
Published Date
Jan 31, 2017
Volume
38
Issue
5
Pages
1235 - 1257
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