Hyperspectral imagery was taken of four vehicles from a roof at the Rochester Institute of Technology (RIT) at various vehicle orientations in illumination conditions dominated by direct solar radiation in order to explore and model the in-scene bidirectional reflectance distribution functions (BRDFs) of 3D objects. The four vehicles were rotated and imaged through the span of six hours resulting in many combinations of vehicle orientation, source azimuth, and source zenith. In addition to the general sampling of vehicle BRDFs, three experiments were designed and executed in order to understand the contributions of vehicle shape, vehicle color, and background on the observed in-scene BRDFs.
Compact Reconnaissance Imaging Spectrometer for Mars (CRISM) data can be used to identify the presence
of minerals on the surface or Mars. The data are a peculiar set from which to extract endmembers. Using an
image from a previously investigate area of the surface, we compare a geometrical and a statistical algorithm
for extracting endmembers for mineral identification. Both algorithms correctly identified the spectra of the
two minerals known to be present in the Nili Fossae region of Mars. Both algorithms suffer from linearity
assumption. Even though the statistical algorithm is less robust with respect to outliers, it has potential to
extract endmembers in complex data clouds because of its local nature.
The present study is an illustration of the application of Nonnegative Matrix Factorization (NMF) to the problem of linear unmixing of mineral endmembers in hyperspectral images. NMF can be seen as for nonnegative linear coding of the data points. We will show how a novel implementation of the NMF is able to perform both endmember extraction and abundance calculation. A synthetic example, used to illustrate the issue shows that NMF correctly identifies endmembers in a random mixing of real library spectra.
Conference Committee Involvement (4)
Imaging Spectrometry XXV: Applications, Sensors, and Processing
22 August 2022 | San Diego, California, United States
Imaging Spectrometry XXIV: Applications, Sensors, and Processing
24 August 2020 | Online Only, California, United States
Imaging Spectrometry XXIII: Applications, Sensors, and Processing
11 August 2019 | San Diego, California, United States
Imaging Spectrometry XXII: Applications, Sensors, and Processing
20 August 2018 | San Diego, California, United States
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