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Found 4 papers, 0 papers with code
SAR and Optical data fusion based on Anisotropic Diffusion with PCA and Classification using Patch-based with LBP
Classification results suggests that the LBP-PSVM classifier is more effective in comparison to SVM and PSVM classifiers for considered data.
IRX-1D: A Simple Deep Learning Architecture for Remote Sensing Classifications
Results in terms of classification accuracy suggests improved performance by proposed architecture in comparison to Bayesian optimised 2D-CNN with small training samples.
Patch Based Classification of Remote Sensing Data: A Comparison of 2D-CNN, SVM and NN Classifiers
Pixel based algorithms including back propagation neural networks (NN) and support vector machines (SVM) have been widely used for remotely sensed image classifications.
Deep neural network for pier scour prediction
With the advancement in computing power over last decades, deep neural networks (DNN), consisting of two or more hidden layers with large number of nodes, are being suggested as an alternate to commonly used single-hidden-layer neural networks (ANN).
