A platform for research: civil engineering, architecture and urbanism
Hyperspectral Feature Extraction Using Total Variation Component Analysis
In this paper, a novel feature extraction method, called orthogonal total variation component analysis (OTVCA), is proposed for remotely sensed hyperspectral data. The features are extracted by minimizing a total variation (TV) penalized optimization problem. The TV penalty promotes piecewise smoothness of the extracted features which is useful for classification. A cyclic descent algorithm called OTVCA-CD is proposed for solving the minimization problem. In the experiments, OTVCA is applied on a rural hyperspectral image having low spatial resolution and an urban hyperspectral image having high spatial resolution. The features extracted by OTVCA show considerable improvements in terms of classification accuracy compared with features extracted by other state-of-the-art methods.
Hyperspectral Feature Extraction Using Total Variation Component Analysis
In this paper, a novel feature extraction method, called orthogonal total variation component analysis (OTVCA), is proposed for remotely sensed hyperspectral data. The features are extracted by minimizing a total variation (TV) penalized optimization problem. The TV penalty promotes piecewise smoothness of the extracted features which is useful for classification. A cyclic descent algorithm called OTVCA-CD is proposed for solving the minimization problem. In the experiments, OTVCA is applied on a rural hyperspectral image having low spatial resolution and an urban hyperspectral image having high spatial resolution. The features extracted by OTVCA show considerable improvements in terms of classification accuracy compared with features extracted by other state-of-the-art methods.
Hyperspectral Feature Extraction Using Total Variation Component Analysis
Rasti, Behnood (author) / Ulfarsson, Magnus Orn / Sveinsson, Johannes R
2016
Article (Journal)
English
Local classification TIB:
770/3710/5670
BKL:
38.03
Methoden und Techniken der Geowissenschaften
/
74.41
Luftaufnahmen, Photogrammetrie
Hyperspectral Feature Extraction Using Total Variation Component Analysis
Online Contents | 2016
|Hyperspectral and LiDAR Fusion Using Extinction Profiles and Total Variation Component Analysis
Online Contents | 2017
|Blind Hyperspectral Unmixing Using Total Variation and $\ell_q$ Sparse Regularization
Online Contents | 2016
|Blind hyperspectral unmixing using total variation and lq sparse regularization
Online Contents | 2016
|