Index for du_p

Du, P.[Peng] Co Author Listing * Analysis of Extracting Prior BRDF from MODIS BRDF Data
* Convex Formulation for Multiband Image Classification With Superpixel-Based Spatial Regularization
* Integrating Multilayer Features of Convolutional Neural Networks for Remote Sensing Scene Classification
* Method and apparatus for animation of a human speaker
* Multiple classifier combination for target identification from high resolution remote sensing image
* Using surface variability characteristics for segmentation of deformable 3D objects with application to piecewise statistical deformable model
* Which Part is Better: Multi-Part Competition Network for person Re-Identification
Includes: Du, P.[Peng] Du, P. Du, P.[Ping]
7 for Du, P.

Du, P.A.[Ping An] Co Author Listing * Color Restoration Method for Irreversible Thermal Paint Based on Atmospheric Scattering Model, A
Includes: Du, P.A.[Ping An] Du, P.A.[Ping-An]

Du, P.J.[Pei Jun] Co Author Listing * Classification of High Resolution Optical and SAR Fusion Image Using Fuzzy Knowledge and Object-Oriented Paradigm
* Discriminative Sparse Representation for Hyperspectral Image Classification: A Semi-Supervised Perspective
* efficient semi-supervised classification approach for hyperspectral imagery, An
* Hierarchical Unsupervised Change Detection in Multitemporal Hyperspectral Images
* Improved Approach for Soil Moisture Estimation in Gully Fields of the Loess Plateau Using Sentinel-1A Radar Images, An
* Improved hyperspectral image classification by active learning using pre-designed mixed pixels
* Integration of Hyperspectral Imagery and Sparse Sonar Data for Shallow Water Bathymetry Mapping
* Intra-dimensional feature diagnosticity in the Fuzzy Feature Contrast Model
* Jointly Informative and Manifold Structure Representative Sampling Based Active Learning for Remote Sensing Image Classification
* Kernel Collaborative Representation With Local Correlation Features for Hyperspectral Image Classification
* Kernel Supervised Ensemble Classifier for the Classification of Hyperspectral Data Using Few Labeled Samples
* Mapping Urban Land Cover of a Large Area Using Multiple Sensors Multiple Features
* Multifeature Dictionary Learning for Collaborative Representation Classification of Hyperspectral Imagery
* Multikernel Adaptive Collaborative Representation for Hyperspectral Image Classification
* Multiple Feature Kernel Sparse Representation Classifier for Hyperspectral Imagery
* novel semi-supervised hyperspectral image classification approach based on spatial neighborhood information and classifier combination, A
* Novel Tri-Training Technique for Semi-Supervised Classification of Hyperspectral Images Based on Diversity Measurement, A
* Object-Based Change Detection in Urban Areas from High Spatial Resolution Images Based on Multiple Features and Ensemble Learning
* Object-Oriented Change Detection from Multi-Temporal Remotely Sensed Images
* Performance Evaluation of Downscaling Sentinel-2 Imagery for Land Use and Land Cover Classification by Spectral-Spatial Features
* Quantitative Estimation of Carbonate Rock Fraction in Karst Regions Using Field Spectra in 2.0-2.5 Ám
* Random Forest and Rotation Forest for fully polarized SAR image classification using polarimetric and spatial features
* Random Subspace Ensembles for Hyperspectral Image Classification With Extended Morphological Attribute Profiles
* Remote Sensing Image Interpretation for Urban Environment Analysis: Methods, System and Examples
* review of supervised object-based land-cover image classification, A
* Rotation-Based Support Vector Machine Ensemble in Classification of Hyperspectral Data With Limited Training Samples
* Sequential Spectral Change Vector Analysis for Iteratively Discovering and Detecting Multiple Changes in Hyperspectral Images
* Simultaneous Sparse Graph Embedding for Hyperspectral Image Classification
* Sparse Graph Regularization for Hyperspectral Remote Sensing Image Classification
* Sparse graph regularization for robust crop mapping using hyperspectral remotely sensed imagery with very few in situ data
* Spectral-Spatial Classification for Hyperspectral Data Using Rotation Forests With Local Feature Extraction and Markov Random Fields
* Spectral-Spatial Classification of Hyperspectral Data via Morphological Component Analysis-Based Image Separation
* Unsupervised Multitemporal Spectral Unmixing for Detecting Multiple Changes in Hyperspectral Images
Includes: Du, P.J.[Pei Jun] Du, P.J.[Pei-Jun]
33 for Du, P.J.

Index for "d"

Last update:10-Apr-19 20:23:22
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