Integrating external knowledge into SVM classification – Fusing hyperspectral and laserscanning data by kernel composition
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
Integrating external knowledge into SVM classification – Fusing hyperspectral and laserscanning data by kernel composition ; volume:XXXVIII-4/W19 ; year:2012 ; pages:57-62
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ; XXXVIII-4/W19 (2012), 57-62
- Creator
-
Braun, A. C.
Weidner, U.
Jutzi, B.
Hinz, S.
- DOI
-
10.5194/isprsarchives-XXXVIII-4-W19-57-2011
- URN
-
urn:nbn:de:101:1-201711167558
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:23 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Braun, A. C.
- Weidner, U.
- Jutzi, B.
- Hinz, S.
Other Objects (12)
FUSING MULTIPLE UNTRAINED NETWORKS FOR HYPERSPECTRAL CHANGE DETECTION
Hyperspectral image classification with SVM and guided filter
PIXEL-BASED LAND COVER CLASSIFICATION BY FUSING HYPERSPECTRAL AND LIDAR DATA
Hadamard Kernel SVM with applications for breast cancer outcome predictions
Iterative optimal solutions of linear matrix equations for hyperspectral and multispectral image fusing
SGS: SqueezeNet-guided Gaussian-kernel SVM for COVID-19 Diagnosis
SVM
The semiproximal SVM approach for multiple instance learning: a kernel-based computational study
Scalable kernel-based SVM classification algorithm on imbalance air quality data for proficient healthcare
"DMP" SVM
SVM clustering
Re-fusing nature/nurture
FUSING MULTIPLE UNTRAINED NETWORKS FOR HYPERSPECTRAL CHANGE DETECTION
Hyperspectral image classification with SVM and guided filter
PIXEL-BASED LAND COVER CLASSIFICATION BY FUSING HYPERSPECTRAL AND LIDAR DATA
Hadamard Kernel SVM with applications for breast cancer outcome predictions
Iterative optimal solutions of linear matrix equations for hyperspectral and multispectral image fusing
SGS: SqueezeNet-guided Gaussian-kernel SVM for COVID-19 Diagnosis
SVM
The semiproximal SVM approach for multiple instance learning: a kernel-based computational study
Scalable kernel-based SVM classification algorithm on imbalance air quality data for proficient healthcare
"DMP" SVM
SVM clustering
Re-fusing nature/nurture
FUSING MULTIPLE UNTRAINED NETWORKS FOR HYPERSPECTRAL CHANGE DETECTION
Hyperspectral image classification with SVM and guided filter
PIXEL-BASED LAND COVER CLASSIFICATION BY FUSING HYPERSPECTRAL AND LIDAR DATA
Hadamard Kernel SVM with applications for breast cancer outcome predictions
Iterative optimal solutions of linear matrix equations for hyperspectral and multispectral image fusing
SGS: SqueezeNet-guided Gaussian-kernel SVM for COVID-19 Diagnosis
SVM
The semiproximal SVM approach for multiple instance learning: a kernel-based computational study
Scalable kernel-based SVM classification algorithm on imbalance air quality data for proficient healthcare
"DMP" SVM
SVM clustering