Datcu, D.[Dragos]
* 2007: Multimodal workbench for automatic surveillance applications
* 2008: Automatic bi-modal emotion recognition system based on fusion of facial expressions and emotion extraction from speech
Datcu, M.
* 1998: Spatial Information Retrieval from Remote-Sensing Images--Part I: Information Theoretical Perspective
* 1998: Spatial Information Retrieval from Remote-Sensing Images--Part II: Gibbs-Markov Random Fields
* 2000: Early and Late Fusion of Multiple Modalities in Sentinel Imagery and Social Media Retrieval
* 2000: Interactive Learning and Probabilistic Retrieval in Remote Sensing Image Archives
* 2000: Model-Based Despeckling and Information Extraction from SAR Images
* 2002: Bayesian selection of the neighbourhood order for Gauss-Markov texture models
* 2002: Multisource data classification with dependence trees
* 2002: Road detection in dense urban areas using SAR imagery and the usefulness of multiple views
* 2003: Information fusion for scene understanding from interferometric SAR data in urban environments
* 2003: Information Mining in Remote Sensing Image Archives: System Concepts
* 2005: Earth observation image and DEM information aggregation for realistic 3-D visualization of natural landscapes
* 2005: Human-Centered Concepts for Exploration and Understanding of Earth Observation Images
* 2005: Image Information Mining System Evaluation Using Information-Theoretic Measures
* 2006: Gauss-Markov Model for Wavelet-Based SAR Image Despeckling
* 2007: Image Time-Series Data Mining Based on the Information-Bottleneck Principle
* 2007: Introduction to the Special Section on Image Information Mining for Earth Observation Data
* 2007: Wavelet-Based Despeckling of SAR Images Using Gauss-Markov Random Fields
* 2008: information theory based image processing chain for change detection in Earth Observation, An
* 2008: Semantic Map Generation from Satellite Images for Humanitarian Scenarios Applications
* 2009: Cramer-Rao Bound-Based Evaluation of Texture Extraction from SAR Images
* 2009: Damage Assessment Based on SAR Image Analysis: Flood Scenario for Romanian Eastern Carpathian Region
* 2009: Regularization of Complex SAR Images Using Markov Random Fields
* 2009: Wavelet-Based SAR Image Despeckling and Information Extraction, Using Particle Filter
* 2011: Cascaded active learning for object retrieval using multiscale coarse to fine analysis
* 2011: Classification of dynamic evolutions from satellitar image time series based on similarity measures
* 2011: Coarse to fine patches-based multitemporal analysis of very high resolution satellite images
* 2011: Mining Satellite Image Time Series: Statistical Modeling and Evolution Analysis
* 2012: Evaluation of Bayesian Despeckling and Texture Extraction Methods Based on Gauss-Markov and Auto-Binomial Gibbs Random Fields: Application to TerraSAR-X Data
* 2012: fast compression-based similarity measure with applications to content-based image retrieval, A
* 2013: Clustering-Based Approach for Evaluation of EO Image Indexing, A
* 2013: Earth-Observation Image Retrieval Based on Content, Semantics, and Metadata
* 2013: Further results on dissimilarity spaces for hyperspectral images RF-CBIR
* 2013: Immersive Visualization of the Quality of Dimensionality Reduction
* 2013: Information Content of Very High Resolution SAR Images: Study of Feature Extraction and Imaging Parameters
* 2013: Latent Analysis of Earth Surface Dynamic Evolution Using Change Map Time Series, A
* 2013: Latent Dirichlet Allocation for Spatial Analysis of Satellite Images
* 2013: Measuring the semantic gap based on a communication channel model
* 2013: Parametric modeling of the fractional Fourier transform coefficients for complex-valued SAR image categorization
* 2013: SAR Image Categorization With Log Cumulants of the Fractional Fourier Transform Coefficients
* 2014: Authorship analysis based on data compression
* 2014: Class evolution data analytics from SAR image time series using information theory measures
* 2014: Despeckling and Information Extraction From SLC SAR Images
* 2014: Farness preserving Non-negative matrix factorization
* 2014: Scene recognition based on phase gradient InSAR images
* 2015: Classification of interferometric SAR images based on parametric modeling in the fractional fourier transform domain
* 2015: Image classification: No features, no clustering
* 2015: rapid mapping approach to quantify damages caused by the 2003 bam earthquake using high resolution multitemporal optical images, A
* 2015: Spatio-temporal characterization in satellite image time series
* 2015: validation of ICA decomposition for PolSAR images by using measures of normalized compression distance, A
* 2016: Improved image classification by proper patch size selection: TerraSAR-X vs. Sentinel-1A
* 2016: Multi-scale feature extraction approaches for classification of INSAR and Phase Gradient INSAR Images
* 2017: Evaluation of Dimensionality Reduction Methods for Remote Sensing Images Using Classification and 3D Visualization
* 2017: Image representation alternatives for the analysis of satellite image time series
* 2017: Land cover change detection in Satellite Image Time Series using an active learning method
* 2017: Land-cover evolution class analysis in Image Time Series of Landsat and Sentinel-2 based on Latent Dirichlet Allocation
* 2017: Temporal analysis of SAR imagery for permanent and evolving Earth land cover behavior assessment
* 2018: Classification with an edge: Improving semantic image segmentation with boundary detection
* 2018: Dialectical GAN for SAR Image Translation: From Sentinel-1 to TerraSAR-X
* 2018: DOTA: A Large-Scale Dataset for Object Detection in Aerial Images
* 2018: ICPR2018 Contest on Object Detection in Aerial Images (ODAI-18)
* 2018: Joint SAR Image Time Series and PSInSAR Data Analytics: An LDA Based Approach
* 2018: Super-Resolution Multi-Look Detection in SAR Tomography
* 2019: Bayesian estimation of generalized Gamma mixture model based on variational EM algorithm
* 2019: Compact Ground-Based Interferometric Synthetic Aperture Radar: Short-range structural monitoring
* 2019: Contrastive-Regulated CNN in the Complex Domain: A Method to Learn Physical Scattering Signatures From Flexible PolSAR Images
* 2019: Machine Learning for Sea Ice Monitoring From Satellites
* 2020: CMIR-NET: A deep learning based model for cross-modal retrieval in remote sensing
* 2020: CrossATNet: A novel cross-attention based framework for sketch-based image retrieval
* 2020: Deep SAR-Net: Learning objects from signals
* 2020: Flood Detection In Time Series of Optical and Sar Images
* 2020: Simplified Framework for Zero-shot Cross-Modal Sketch Data Retrieval, A
* 2021: HDEC-TFA: An Unsupervised Learning Approach for Discovering Physical Scattering Properties of Single-Polarized SAR Image
* 2021: LUAI Challenge 2021 on Learning to Understand Aerial Images
* 2021: Machine Learning Techniques for Knowledge Extraction From Satellite Images: Application to Specific Area Types
* 2022: Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges
* 2022: Physically explainable CNN for SAR image classification
Includes: Datcu, M. Datcu, M.[Mihai]
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