Results show that the proposed method provides the most discriminative features in terms of cloud detection when confronted with state of the art linear and ...

Results show that the proposed method provides the most discriminative features in terms of cloud detection when confronted with state of the art linear and ...

Results show that the proposed method provides the most discriminative features in terms of cloud detection when confronted with state of the art linear and ...

Kernel change discriminant analysis for multitemporal cloud masking. Luis ... kernel principal component analysis · feature extraction · generalized discriminant ...

Bibliographic details on Kernel change discriminant analysis for multitemporal cloud masking.

Kernel change discriminant analysis for multitemporal cloud masking. L. · Advances in synergy of AATSR-MERIS sensors for cloud detection. L. · Kernel Entropy ...

Kernel change discriminant analysis for multitemporal cloud masking. Gómez-Chova, L. Izquierdo-Verdiguier, E. Amorós-López, J. Muñoz-Marí, J. Camps-Valls, ...

First we want to demonstrate the discriminating capability of the norm of the difference image ( α i ) for cloud detection. The receiver operator curve (ROC) ...

Title: Kernel Change Discriminant Analysis for Multitemporal Cloud Masking ; Authors: Luis Gómez-Chova; University of Valencia ; Emma Izquierdo-Verdiguier; ...

More pixels yield more spectral heterogeneity between the pixels, which leads to greater opportunity for discrimination of features but also possible confusion ...