Hyperspectral imagery classification with minimum noise fraction, 2D spatial filtering and SVM
Author:
Affiliation:
1. Department of Computer Science and Software Engineering, Concordia University, Montreal, QC, Canada H3G 1M8, Canada
2. Space Science and Technology, Canadian Space Agency, St-Hubert, QC, Canada J3Y 8Y9, Canada
Abstract
Publisher
World Scientific Pub Co Pte Ltd
Subject
Applied Mathematics,Information Systems,Signal Processing
Link
https://www.worldscientific.com/doi/pdf/10.1142/S0219691322500254
Reference21 articles.
1. Dimensionality Reduction of Hyperspectral Images Based on Improved Spatial–Spectral Weight Manifold Embedding
2. Hyperspectral image classification using spectral-spatial LSTMs
3. Hyperspectral Image Classification via Kernel Sparse Representation
4. Classification of hyperspectral remote sensing images with support vector machines
5. A spatial–spectral kernel-based approach for the classification of remote-sensing images
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1. A Dual-Attention Deep Discriminative Domain Generalization Model for Hyperspectral Image Classification;Remote Sensing;2023-11-24
2. Prediction and optimization of employee turnover intentions in enterprises based on unbalanced data;PLOS ONE;2023-08-17
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