Artikel
Open Access
Hyperspectral Image Classification Based on Mathematical Morphology and Tensor Decomposition
-
Mohamad Jouni
,
Mauro Dalla Mura
Veröffentlicht/Copyright:
25. März 2020
Received: 2019-11-02
Accepted: 2020-01-28
Published Online: 2020-03-25
© 2020 Mohamad Jouni et al., published by De Gruyter
Artikel in diesem Heft
- Regular articles
- Automated segmentation of thick confocal microscopy 3D images for the measurement of white matter volumes in zebrafish brains
- Image Restoration by Learning Morphological Opening-Closing Network
- Digital Objects in Rhombic Dodecahedron Grid
- Special Issue: ISMM 2019
- Editorial — Special Issue: ISMM 2019
- Hyperspectral Image Classification Based on Mathematical Morphology and Tensor Decomposition
- Boundary Morphology for Hierarchical Simplification of Archaeological Fragments
- Approximating morphological operators with part-based representations learned by asymmetric auto-encoders
- Adaptive Mathematical Morphology on Irregularly Sampled Signals in Two Dimensions
- Fast marching based superpixels
Schlagwörter für diesen Artikel
Remote Sensing Image;
Hyperspectral Imagery;
Mathematical Morphology;
Attribute Profiles;
Tensor Decomposition;
Scene Classification
Creative Commons
BY 4.0
Artikel in diesem Heft
- Regular articles
- Automated segmentation of thick confocal microscopy 3D images for the measurement of white matter volumes in zebrafish brains
- Image Restoration by Learning Morphological Opening-Closing Network
- Digital Objects in Rhombic Dodecahedron Grid
- Special Issue: ISMM 2019
- Editorial — Special Issue: ISMM 2019
- Hyperspectral Image Classification Based on Mathematical Morphology and Tensor Decomposition
- Boundary Morphology for Hierarchical Simplification of Archaeological Fragments
- Approximating morphological operators with part-based representations learned by asymmetric auto-encoders
- Adaptive Mathematical Morphology on Irregularly Sampled Signals in Two Dimensions
- Fast marching based superpixels
