Spatial Functional Data Analysis for the Spatial–Spectral Classification of Hyperspectral Imagery

2019 ◽  
Vol 16 (6) ◽  
pp. 942-946
Author(s):  
Meng Lv ◽  
James E. Fowler ◽  
Ling Jing
Keyword(s):  
Data Analysis ◽  
Functional Data Analysis ◽  
Functional Data ◽  
Hyperspectral Imagery ◽  
Spectral Classification ◽  
Spatial Functional Data

Supervised classification of geometrical objects by integrating currents and functional data analysis

Test ◽  
2019 ◽  
Vol 29 (3) ◽  
pp. 637-660
Author(s):  
S. Barahona ◽  
P. Centella ◽  
X. Gual-Arnau ◽  
M. V. Ibáñez ◽  
A. Simó
Keyword(s):  
Data Analysis ◽  
Functional Data Analysis ◽  
Functional Data ◽  
Supervised Classification

scholarly journals Classification of ADNI PET images via regularized 3D functional data analysis

2017 ◽  
Vol 1 (1) ◽  
pp. 3-19 ◽  
Author(s):  
Xuejing Wang ◽  
Bin Nan ◽  
Ji Zhu ◽  
Robert Koeppe ◽  
Kirk Frey
Keyword(s):  
Data Analysis ◽  
Functional Data Analysis ◽  
Functional Data

scholarly journals ENHANCING VOLUMETRIC BOULIGAND–MINKOWSKI FRACTAL DESCRIPTORS BY USING FUNCTIONAL DATA ANALYSIS

2011 ◽  
Vol 22 (09) ◽  
pp. 929-952 ◽  
Author(s):  
JOÃO BATISTA FLORINDO ◽  
MÁRIO DE CASTRO ◽  
ODEMIR MARTINEZ BRUNO
Keyword(s):  
Fractal Dimension ◽  
Data Analysis ◽  
Functional Data Analysis ◽  
Functional Data ◽  
Texture Classification ◽  
Data Representation ◽  
Classification Problems ◽  
Minkowski Fractal

This work proposes and studies the concept of Functional Data Analysis transform, applying it to the performance improving of volumetric Bouligand–Minkowski fractal descriptors. The proposed transform consists essentially in changing the descriptors originally defined in the space of the calculus of fractal dimension into the space of coefficients used in the functional data representation of these descriptors. The transformed descriptors are used here in texture classification problems. The enhancement provided by the FDA transform is measured by comparing the transformed to the original descriptors in terms of the correctness rate in the classification of well known datasets.

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