| Active Multiple Kernel Fredholm Learning for Hyperspectral Images Classification | 0 | 0.34 | 2021 |
| A probabilistic framework for weighted combination of multiple-feature classifications of hyperspectral images | 0 | 0.34 | 2020 |
| Hyperspectral Unmixing Using Deep Convolutional Autoencoders in a Supervised Scenario | 1 | 0.38 | 2020 |
| An overview on Spectral and Spatial Information Fusion for Hyperspectral Image Classification: Current Trends and Challenges | 3 | 0.39 | 2020 |
| A Model-Based Method for Pan-Sharpening of Multi-Spectral Images using Sparse Representation | 0 | 0.34 | 2019 |
| Morphology-based structure-preserving projection for spectral–spatial feature extraction and classification of hyperspectral data | 0 | 0.34 | 2019 |
| Systolic Murmurs Diagnosis Improvement by Feature Fusion and Decision Fusion | 0 | 0.34 | 2019 |
| Classification of heart sound signal using curve fitting and fractal dimension. | 5 | 0.47 | 2018 |
| Active Learning for Domain Adaptation in Classification of Remote Sensing Data by Minimizing Expected Error with Diversity Maximization | 0 | 0.34 | 2018 |
| Hyperspectral Anomaly Detection Using Combined Similarity Criteria. | 0 | 0.34 | 2018 |
| Multi Spectral Image Fusion with Deep Convolutional Network | 0 | 0.34 | 2018 |
| Phonocardiography Signal Classification by Applying Feature Space Transformations | 0 | 0.34 | 2018 |
| A New Variational Model in Texture Space for Pansharpening. | 0 | 0.34 | 2018 |
| Electrical Load Forecasting Using Customers Clustering and Smart Meters in Internet of Things | 0 | 0.34 | 2018 |
| Building Detection in Very High Resolution SAR Images Via Sparse Representation Over Learned Dictionaries. | 0 | 0.34 | 2018 |
| High-dimensional image data feature extraction by double discriminant embedding | 3 | 0.42 | 2017 |
| Weighted Joint Collaborative Representation Based On Median-Mean Line and Angular Separation. | 2 | 0.36 | 2017 |
| A multiscale modified minimum spanning forest method for spatial-spectral hyperspectral images classification. | 1 | 0.35 | 2017 |
| An adaptive framework for spectral-spatial classification based on a combination of pixel-based and object-based scenarios. | 2 | 0.37 | 2017 |
| Hybrid Preprocessing Algorithm for Endmember Extraction Using Clustering, Over-Segmentation, and Local Entropy Criterion. | 1 | 0.36 | 2017 |
| Edge patch image-based morphological profiles for classification of multispectral and hyperspectral data. | 1 | 0.35 | 2017 |
| Attribute profile based feature space discriminant analysis for spectral-spatial classification of hyperspectral images. | 1 | 0.35 | 2017 |
| Automatic Object-Based Hyperspectral Image Classification Using Complex Diffusions and a New Distance Metric. | 1 | 0.36 | 2016 |
| Enhancing Hyperspectral Endmember Extraction Using Clustering and Oversegmentation-Based Preprocessing. | 0 | 0.34 | 2016 |
| Hyperspectral Endmember Extraction And Unmixing By A Novel Spatial-Spectral Preprocessing Module | 1 | 0.35 | 2016 |
| Combining the spectral PCA and spatial PCA fusion methods by an optimal filter | 23 | 0.74 | 2016 |
| A New Pansharpening Method Based On Cartoon Plus Texture Decomposition | 0 | 0.34 | 2016 |
| A Compressed-Sensing-Based Pan-Sharpening Method for Spectral Distortion Reduction | 7 | 0.43 | 2016 |
| Hyperspectral Images Classification By Spectral-Spatial Processing | 0 | 0.34 | 2016 |
| Binary coding based feature extraction in remote sensing high dimensional data. | 7 | 0.44 | 2016 |
| A Fast Spatial-Spectral Preprocessing Module for Hyperspectral Endmember Extraction. | 2 | 0.37 | 2016 |
| A review of remote sensing image fusion methods. | 57 | 1.45 | 2016 |
| Nonlinear IHS: A Promising Method for Pan-Sharpening. | 8 | 0.45 | 2016 |
| Multimodal Image Fusion Via Sparse Representation And Clustering-Based Dictionary Learning Algorithm In Nonsubsampled Contourlet Domain | 0 | 0.34 | 2016 |
| Hyperspectral Data Feature Extraction Using Rational Function Curve Fitting | 6 | 0.88 | 2016 |
| A Fully Adaptive Object Extraction Technique Used For Spectral-Spatial Classification Of Remotely Sensed Data | 0 | 0.34 | 2015 |
| Kernel Multivariate Spectral–Spatial Analysis of Hyperspectral Data | 2 | 0.39 | 2015 |
| Remote Sensing Image Fusion Using Ripplet Transform and Compressed Sensing | 19 | 0.67 | 2015 |
| Feature Extraction Using Weighted Training Samples | 11 | 0.56 | 2015 |
| The geometrical and principal structures preservation in feature extraction of high dimensional images | 0 | 0.34 | 2015 |
| A novel approach to hyperspectral data feature extraction using rational function curve fitting | 0 | 0.34 | 2015 |
| Fusion of MS and PAN Images Preserving Spectral Quality | 16 | 0.61 | 2015 |
| Multilayer structured NMF for spectral unmixing of hyperspectral images | 0 | 0.34 | 2015 |
| An Adaptive Pixon Extraction Technique for Multispectral/Hyperspectral Image Classification | 10 | 0.64 | 2015 |
| Endmember extraction using a novel Cluster-based Spatial Border Removal Preprocessor | 3 | 0.39 | 2015 |
| Spectral Unmixing of Hyperspectral Imagery Using Multilayer NMF | 21 | 0.71 | 2014 |
| Band Clustering-Based Feature Extraction for Classification of Hyperspectral Images Using Limited Training Samples | 13 | 0.66 | 2014 |
| Spectral-Spatial Classification of Hyperspectral Data Using Local and Global Probabilities for Mixed Pixel Characterization. | 24 | 0.76 | 2014 |
| Predicting termination of paroxysmal atrial fibrillation using empirical mode decomposition of the atrial activity and statistical features of the heart rate variability. | 5 | 0.59 | 2014 |
| A New Magnification Method for RGB Color Images Based on Subpixels Decomposition | 0 | 0.34 | 2014 |
