Index for du_q

Du, Q. Co Author Listing * Accurate Depth Extraction Method for Multiple Light-Coding-Based Depth Cameras
* Adjusted Spectral Matched Filter for Target Detection in Hyperspectral Imagery
* Anomaly Detection and Reconstruction From Random Projections
* Anomaly Detection for Hyperspectral Imagery Based on the Regularized Subspace Method and Collaborative Representation
* Anomaly Detection in Hyperspectral Imagery Based on Low-Rank Representation Incorporating a Spatial Constraint
* automatic high precision registration method between large area aerial images and aerial light detection and ranging data, An
* Automatic Registration and Mosaicking for Airborne Multispectral Image Sequences
* Band Selection-Based Dimensionality Reduction for Change Detection in Multi-Temporal Hyperspectral Images
* Caps-TripleGAN: GAN-Assisted CapsNet for Hyperspectral Image Classification
* CascadeNet: Modified ResNet with Cascade Blocks
* Collaborative Representation for Hyperspectral Anomaly Detection
* Color Display for Hyperspectral Imagery
* Combined sparse and collaborative representation for hyperspectral target detection
* Comparison and Validation of the Ionospheric Climatological Morphology of FY3C/GNOS with COSMIC during the Recent Low Solar Activity Period
* DDLPS: Detail-Based Deep Laplacian Pansharpening for Hyperspectral Imagery
* Decision Fusion of D-InSAR and Pixel Offset Tracking for Coal Mining Deformation Monitoring
* Deep Kernel Extreme-Learning Machine for the Spectral-Spatial Classification of Hyperspectral Imagery
* Deep Latent Spectral Representation Learning-Based Hyperspectral Band Selection for Target Detection
* Deep nonsmooth nonnegative matrix factorization network with semi-supervised learning for SAR image change detection
* Depth extraction method with subpixel matching for light-coding-based depth camera
* Dimensionality Reduction of Hyperspectral Image with Graph-Based Discriminant Analysis Considering Spectral Similarity
* Discriminant Analysis of Hyperspectral Imagery Using Fast Kernel Sparse and Low-Rank Graph
* Discriminative Marginalized Least-Squares Regression for Hyperspectral Image Classification
* Diverse Region-Based CNN for Hyperspectral Image Classification
* efficient semi-supervised classification approach for hyperspectral imagery, An
* Ensemble Learning for Hyperspectral Image Classification Using Tangent Collaborative Representation
* Estimation of number of spectrally distinct signal sources in hyperspectral imagery
* Evaluation of the Latest MODIS GPP Products across Multiple Biomes Using Global Eddy Covariance Flux Data
* Extracting Representative Images of Tourist Attractions from Flickr by Combining an Improved Cluster Method and Multiple Deep Learning Models
* Fast and Latent Low-Rank Subspace Clustering for Hyperspectral Band Selection
* Fast real-time onboard processing of hyperspectral imagery for detection and classification
* Feature Extraction for Classification of Hyperspectral and LiDAR Data Using Patch-to-Patch CNN
* Feature-Driven Multilayer Visualization for Remotely Sensed Hyperspectral Imagery
* Full-Coverage Daily Average PM2.5 Retrieval Method with Two-Stage IVW Fused MODIS C6 AOD and Two-Stage GAM Model, A
* Fusing China GF-5 Hyperspectral Data with GF-1, GF-2 and Sentinel-2A Multispectral Data: Which Methods Should Be Used?
* GETNET: A General End-to-End 2-D CNN Framework for Hyperspectral Image Change Detection
* GPU-based fast hyperspectral image classification using joint sparse representation with spectral consistency constraint
* Graph-Regularized Fast and Robust Principal Component Analysis for Hyperspectral Band Selection
* HTD-Net: A Deep Convolutional Neural Network for Target Detection in Hyperspectral Imagery
* Hyperspectral and LiDAR Data Fusion Classification Using Superpixel Segmentation-Based Local Pixel Neighborhood Preserving Embedding
* Hyperspectral Classification Based on Texture Feature Enhancement and Deep Belief Networks
* Hyperspectral Dimensionality Reduction by Tensor Sparse and Low-Rank Graph-Based Discriminant Analysis
* Hyperspectral Image Classification Using Deep Pixel-Pair Features
* Hyperspectral Image Classification With Imbalanced Data Based on Orthogonal Complement Subspace Projection
* Hyperspectral Image Restoration Based on Low-Rank Recovery With a Local Neighborhood Weighted Spectral-Spatial Total Variation Model
* Hyperspectral Image Spatial Super-Resolution via 3D Full Convolutional Neural Network
* Hyperspectral Image Super-Resolution by Band Attention Through Adversarial Learning
* Hyperspectral Image Super-Resolution Via Convolutional Neural Network
* Hyperspectral Image Super-Resolution with 1D-2D Attentional Convolutional Neural Network
* Hyperspectral Imagery Visualization Using Double Layers
* Hyperspectral Pansharpening Based on Homomorphic Filtering and Weighted Tensor Matrix
* Hyperspectral Unmixing Using Sparsity-Constrained Deep Nonnegative Matrix Factorization With Total Variation
* Implementation of real-time constrained linear discriminant analysis to remote sensing image classification
* improved box-counting method for image fractal dimension estimation, An
* Interference and Noise-Adjusted Principal Components Analysis
* Joint Band Prioritization and Band-Decorrelation Approach to Band Selection for Hyperspectral Image Classification, A
* Joint Sparsity Based Sparse Subspace Clustering for Hyperspectral Images
* Kernel Collaborative Representation With Local Correlation Features for Hyperspectral Image Classification
* Laplacian Regularized Collaborative Graph for Discriminant Analysis of Hyperspectral Imagery
* Learning Sensor-Specific Spatial-Spectral Features of Hyperspectral Images via Convolutional Neural Networks
* linear constrained distance-based discriminant analysis for hyperspectral image classification, A
* Local Binary Patterns and Extreme Learning Machine for Hyperspectral Imagery Classification
* Local Spectral Similarity Preserving Regularized Robust Sparse Hyperspectral Unmixing
* Low-Rank Subspace Representation for Estimating the Number of Signal Subspaces in Hyperspectral Imagery
* Multi-Probe Based Artificial DNA Encoding and Matching Classifier for Hyperspectral Remote Sensing Imagery
* Multi-Scale Superpixel-Guided Filter Feature Extraction and Selection Approach for Classification of Very-High-Resolution Remotely Sensed Imagery, A
* Multifeature Dictionary Learning for Collaborative Representation Classification of Hyperspectral Imagery
* Multisource Remote Sensing Data Classification Based on Convolutional Neural Network
* New Box-Counting Method for Estimation of Image Fractal Dimension, A
* Nonlinear Classification of Multispectral Imagery Using Representation-Based Classifiers
* Novel Tri-Training Technique for Semi-Supervised Classification of Hyperspectral Images Based on Diversity Measurement, A
* Novel Tri-Training Technique for the Semi-Supervised Classification of Hyperspectral Images Based on Regularized Local Discriminant Embedding Feature Extraction, A
* On the Impact of Atmospheric Correction on Lossy Compression of Multispectral and Hyperspectral Imagery
* Partially Supervised Approach for Detection and Classification of Buried Radioactive Metal Targets Using Electromagnetic Induction Data, A
* Patch Tensor-Based Multigraph Embedding Framework for Dimensionality Reduction of Hyperspectral Images
* Performance Evaluation of DSM Extraction from ZY-3 Three-Line Arrays Imagery
* PSO-EM: A Hyperspectral Unmixing Algorithm Based On Normal Compositional Model
* Randomized Subspace Learning Based Anomaly Detector for Hyperspectral Imagery, A
* Real-time constrained linear discriminant analysis to target detection and classification in hyperspectral imagery
* Remote Sensing Big Data: Theory, Methods and Applications
* Remote Sensing Image Scene Classification Using Multi-Scale Completed Local Binary Patterns and Fisher Vectors
* Restoration of Degraded Video Through Turbulent Atmosphere
* Robust Hyperspectral Image Classification by Multi-Layer Spatial-Spectral Sparse Representations
* Robust Joint Sparse Representation Based on Maximum Correntropy Criterion for Hyperspectral Image Classification
* Self-Paced Joint Sparse Representation for the Classification of Hyperspectral Images
* Semisupervised classification of hyperspectral remote sensing images with spatial majority voting
* Signal-Decomposed and Interference-Annihilated Approach to Hyperspectral Target Detection, A
* Signal-Preserving Erratic Noise Attenuation via Iterative Robust Sparsity-Promoting Filter
* Simultaneous Spatial and Spectral Low-Rank Representation of Hyperspectral Images for Classification
* Sketch-Based Subspace Clustering of Hyperspectral Images
* Sparse and Low-Rank Graph for Discriminant Analysis of Hyperspectral Imagery
* Sparse Graph-Based Discriminant Analysis for Hyperspectral Imagery
* Spatial-Spectral Feature Extraction via Deep ConvLSTM Neural Networks for Hyperspectral Image Classification
* Special issue on advances in pattern recognition in remote sensing
* SRUN: Spectral Regularized Unsupervised Networks for Hyperspectral Target Detection
* Stereo-Matching Network for Structured Light
* Structure-Aware Collaborative Representation for Hyperspectral Image Classification
* Supervised Sub-Pixel Mapping for Change Detection from Remotely Sensed Images with Different Resolutions
* survey on representation-based classification and detection in hyperspectral remote sensing imagery, A
* Tensor Low-Rank Discriminant Embedding for Hyperspectral Image Dimensionality Reduction
* Tunable Detector for Distributed Target Detection in the Situation of Signal Mismatch, A
* Unsupervised real-time constrained linear discriminant analysis to hyperspectral image classification
* Unsupervised Spatial-Spectral Feature Learning by 3D Convolutional Autoencoder for Hyperspectral Classification
* Using High-Resolution Airborne and Satellite Imagery to Assess Crop Growth and Yield Variability for Precision Agriculture
* Validation of Preliminary Results of Thermal Tropopause Derived from FY-3C GNOS Data
* Weighted-Fusion-Based Representation Classifiers for Hyperspectral Imagery
Includes: Du, Q. Du, Q.[Qian] Du, Q.[Qifei] Du, Q.[Qiuchen] Du, Q.[Qiyong] Du, Q.[Qingyun]
106 for Du, Q.

Du, Q.A.[Qi Ang] Co Author Listing * Centroidal Voronoi Tessellation Algorithms for Image Compression, Segmentation, and Multichannel Restoration
* variance-estimation-based stopping rule for symbolic dynamic filtering, A
Includes: Du, Q.A.[Qi Ang] Du, Q.A.[Qi-Ang]

Du, Q.C.[Qiu Chen] Co Author Listing * Depth extraction for a structured light system based on mismatched image pair rectification using a virtual camera
Includes: Du, Q.C.[Qiu Chen] Du, Q.C.[Qiu-Chen]

Du, Q.L.[Qi Liang] Co Author Listing * Adaptive dual fractional-order variational optical flow model for motion estimation
* Spectral-Spatial Attention Networks for Hyperspectral Image Classification
Includes: Du, Q.L.[Qi Liang] Du, Q.L.[Qi-Liang] Du, Q.L.[Qing-Lei]

Du, Q.X.[Qing Xiu] Co Author Listing * Arm motion perception and interaction platform design and implementation
Includes: Du, Q.X.[Qing Xiu] Du, Q.X.[Qing-Xiu]

Du, Q.Y.[Qing Yun] Co Author Listing * Application of Augmented Reality GIS in Architecture
* application of shape from shading, An
* Application of the Analytic Hierarchy Process and a New Correlation Algorithm to Urban Construction and Supervision Using Multi-Source Government Data in Tianjin, The
* Bayesian Kriging Regression Method to Estimate Air Temperature Using Remote Sensing Data, A
* Combining Multi-Source Data and Machine Learning Approaches to Predict Winter Wheat Yield in the Conterminous United States
* Density-Based Clustering with Geographical Background Constraints Using a Semantic Expression Model
* Digital Orthoimage Generation with Low Altitude Photogrammetric System Based on Unmanned Airship
* GIS- and Fuzzy Set-Based Online Land Price Evaluation Approach Supported by Intelligence-Aided Decision-Making, A
* low-cost, accurate strain measurement using multi-view amplification mechanism and visual polydimethylsiloxane lens, A
* Robust registration for remote sensing images by combining and localizing feature- and area-based methods
* Semiautomatic Extraction of 3D Curves Based on Snakes and Generalized Point Photogrammetry from Aerial Imagery
* Urban Nighttime Leisure Space Mapping with Nighttime Light Images and POI Data
* Using an Optimized Chinese Address Matching Method to Develop a Geocoding Service: A Case Study of Shenzhen, China
* Using the TensorFlow Deep Neural Network to Classify Mainland China Visitor Behaviours in Hong Kong from Check-in Data
Includes: Du, Q.Y.[Qing Yun] Du, Q.Y.[Qing-Yun] Du, Q.Y.[Quan Ying] Du, Q.Y.[Quan-Ye] Du, Q.Y.[Qiu-Yue]
14 for Du, Q.Y.

Du, Q.Z.[Qi Zhen] Co Author Listing * Iterative Double Laplacian-Scaled Low-Rank Optimization for Under-Sampled and Noisy Signal Recovery
Includes: Du, Q.Z.[Qi Zhen] Du, Q.Z.[Qi-Zhen]

Index for "d"

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