14 citations · 26 across the 8 of their papers we have counts for
11 papers
Multiscale Topology of the Spectroscopic Mixing Space: Impervious Substrates
Christopher Small, Daniel Sousa
Characterization of topology and dimensionality of spectral feature spaces provides insight into information content. The objective of this study is to characterize topology and sp…
Topological Generality and Spectral Dimensionality in the Earth Mineral Dust Source Investigation (EMIT) using Joint Characterization and the Spectral Mixture Residual
Daniel Sousa, Christopher Small
NASA's Earth Surface Mineral Dust Source Investigation (EMIT) mission seeks to use spaceborne imaging spectroscopy (hyperspectral imaging) to map the mineralogy of arid dust source…
Linking Common Multispectral Vegetation Indices to Hyperspectral Mixture Models: Results from 5 nm, 3 m Airborne Imaging Spectroscopy in a Diverse Agricultural Landscape
Daniel Sousa, Christopher Small
For decades, agronomists have used remote sensing to monitor key crop parameters like biomass, fractional cover, and plant health. Vegetation indices (VIs) are popular for this pur…
Joint Characterization of the Cryospheric Spectral Feature Space
Christopher Small, Daniel Sousa
Hyperspectral feature spaces are useful for many remote sensing applications ranging from spectral mixture modeling to discrete thematic classification. In such cases, characteriza…
Joint Characterization of Spatiotemporal Data Manifolds
Daniel Sousa, Christopher Small
Spatiotemporal (ST) image data are increasingly common and often high-dimensional (high-D). Modeling ST data can be a challenge due to the plethora of independent and interacting p…
Joint Characterization of Multiscale Information in High Dimensional Data
Daniel Sousa, Christopher Small
High dimensional data can contain multiple scales of variance. Analysis tools that preferentially operate at one scale can be ineffective at capturing all the information present i…