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High Dimensional Data Modeling Techniques for Detection of Chemical
  Plumes and Anomalies in Hyperspectral Images and Movies

High Dimensional Data Modeling Techniques for Detection of Chemical Plumes and Anomalies in Hyperspectral Images and Movies

24 September 2015
Yi
Yi Wang
Guangliang Chen
Mauro Maggioni
ArXivPDFHTML

Papers citing "High Dimensional Data Modeling Techniques for Detection of Chemical Plumes and Anomalies in Hyperspectral Images and Movies"

3 / 3 papers shown
Title
Detection and tracking of gas plumes in LWIR hyperspectral video
  sequence data
Detection and tracking of gas plumes in LWIR hyperspectral video sequence data
Torin Gerhart
Justin Sunu
Ekaterina Merkurjev
Jen-Mei Chang
Jerome Gilles
Andrea L. Bertozzi
34
35
0
01 Nov 2024
Approximation of Functions over Manifolds: A Moving Least-Squares
  Approach
Approximation of Functions over Manifolds: A Moving Least-Squares Approach
B. Sober
Yariv Aizenbud
D. Levin
21
21
0
02 Nov 2017
Unsupervised Clustering and Active Learning of Hyperspectral Images with
  Nonlinear Diffusion
Unsupervised Clustering and Active Learning of Hyperspectral Images with Nonlinear Diffusion
James M. Murphy
Mauro Maggioni
DiffM
19
30
0
26 Apr 2017
1