Hyperspectral Image Analysis
How to generalize the Elementary Mathematics to Research Mathematics using
Hyperspectral Image Analysis as an example.
基礎數學推廣至研究數學
-以高頻譜影像分析為例
1. Analytic Geometry
Two line perpendicularThe shortest distance between a point and a line.
2. Vector Space
vector inner product
Orthogonality of vectors and subspaceIndependence of vectors
Basis
Orthogonal Basis
Linear Transform matrix
Projection matrix
Least square errors of optimal solution of a linear system
J. C. Harsanyi and C. I. Chang, “Detection of low probability subpixel
targets in hyperspectral image sequences with unknown backgrounds,”
IEEE Trans. Geosci. Remote Sensing, vol. 32, pp. 779–785, July 1994.
J. C. Harsanyi , Chein-i Chang , Senior Member, "Hyperspectral image classification and dimensionality reduction: an orthogonal subspace projection approach", vol. 32, pp. 779–785, July 1994.
Ross Whitaker, Professor
School of Computing
SCI Institute
University of Utah
http://www.cs.utah.edu/~whitaker/
nmr chemical shift
Hyperspectral imaging of gases with a continuous-wave pump-enhanced optical parametric oscillator
HYPERSPECTRAL SENSORS, ALGORITHMS, APPLICATIONSHyperspectral image classification and dimensionality reduction:
The open source Matlab Hyperspectral Toolbox
data
Spectral Analysis Using Regularized Non-Negative Least-Squares Estimation
USGS Digital Spectral Librarydata
Spectral Analysis Using Regularized Non-Negative Least-Squares Estimation
USGS Spectroscopy Lab
Hyperspectral Imaging, Imaging Spectrometry, Imaging Spectroscopy, Ultraspectral Imaging
Matlab Tools for Oceanographic Analysis
SeaGrid Orthogonal Grid Maker For Matlab
HYPERSPECTRAL IMAGES CLUSTERING ON RECONFIGURABLE HARDWARE USING THE K-MEANS ALGORITHM
HYPERSPECTRAL IMAGES CLUSTERING ON RECONFIGURABLEHARDWARE USING THE K-MEANS ALGORITHM
PHYSICS-BASED DETECTION OF SUBPIXEL TARGETS IN
HYPERSPECTRAL IMAGERY
Is there a best hyperspectral detection algorithm?
Subpixel Target Detection and Enhancement in Hyperspectral Images
Subpixel Anomalous Change Detection in Remote Sensing Imagery
Principle of small target detection for hyperspectral imagery
Detection algorithms for hyperspectral imaging applications
[71] D. Manolakis, C. Siracusa, and G. Shaw, “Hyperspectral Subpixel Target
Detection Using the Linear Mixing Model,” IEEE Transactions on
Geoscience and Remote Sensing, vol. 39, no. 7, pp. 1392-1409, July 2001.
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