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Found 6 papers, 0 papers with code
Randomized RX for target detection
This work tackles the target detection problem through the well-known global RX method.
Nonlinear Cook distance for Anomalous Change Detection
In this work we propose a method to find anomalous changes in remote sensing images based on the chronochrome approach.
Efficient Nonlinear RX Anomaly Detectors
In this letter, we propose two families of techniques to improve the efficiency of the standard kernel Reed-Xiaoli (RX) method for anomaly detection by approximating the kernel function with either {\em data-independent} random Fourier features or {\em data-dependent} basis with the Nystr\"om approach.
Sparsity-driven Digital Terrain Model Extraction
We here introduce an automatic Digital Terrain Model (DTM) extraction method.
SAR Image Despeckling Using Quadratic-Linear Approximated L1-Norm
Speckle noise, inherent in synthetic aperture radar (SAR) images, degrades the performance of the various SAR image analysis tasks.
Sparsity-driven weighted ensemble classifier
In the proposed method, ensemble weights finding problem is modeled as a cost function with the following terms: (a) a data fidelity term aiming to decrease misclassification rate, (b) a sparsity term aiming to decrease the number of classifiers, and (c) a non-negativity constraint on the weights of the classifiers.
