Cargando…
Characterizing Clutter in the Context of Detecting Weak Gaseous Plumes in Hyperspectral Imagery
Weak gaseous plume detection in hyperspectral imagery requires that background clutter consisting of a mixture of components such as water, grass, and asphalt be well characterized. The appropriate characterization depends on analysis goals. Although we almost never see clutter as a single-component...
Autores principales: | Burr, Tom, Foy, Bernard R., Fry, Herb, McVey, Brian |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2006
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3909417/ |
Ejemplares similares
-
Predicting the Detectability of Thin Gaseous Plumes in Hyperspectral Images Using Basis Vectors
por: Anderson, Kevin K., et al.
Publicado: (2010) -
Detection of Gaseous Plumes using Basis Vectors
por: Chilton, Lawrence, et al.
Publicado: (2009) -
Semantic segmentation of methane plumes with hyperspectral machine learning models
por: Růžička, Vít, et al.
Publicado: (2023) -
Occluded object detection and exposure in cluttered environments with automated hyperspectral anomaly detection
por: Hanson, Nathaniel, et al.
Publicado: (2022) -
PET and PVC Separation with Hyperspectral Imagery
por: Moroni, Monica, et al.
Publicado: (2015)