Zhu, Xiaoxiang, 1984-
Zhu, Xiao Xiang (1984- ).
Xiaoxiang Zhu chinesische Geodätin und Hochschullehrerin
VIAF ID: 173334854 (Personal)
Permalink: http://viaf.org/viaf/173334854
Preferred Forms
4xx's: Alternate Name Forms (11)
5xx's: Related Names (1)
Works
| Title | Sources |
|---|---|
| An Augmented Linear Mixing Model to Address Spectral Variability for Hyperspectral Unmixing |
|
| Bevölkerungsabschätzung anhand von Erdbeobachtungsdaten |
|
| Building segmentation through a gated graph convolutional neural network with deep structured feature embedding |
|
| Deep Learning for Aerial Scene Understanding in High Resolution Remote Sensing Imagery from the Lab to the Wild |
|
| Deep Learning for Building Footprint Generation from Optical Imagery |
|
| Deep Learning for Cloud Removal in Spaceborne Earth Observation |
|
| Deep learning for the eart sciences : a comprehensive approach to remote sensing, climate science, and geosciences |
|
| Deep Learning for Time-Series Analysis of Optical Satellite Imagery |
|
| Deep Learning für das Verständnis von Luftaufnahmen in hochauflösenden Fernerkundungsbildern vom Labor bis in die Wildnis |
|
| Deep Learning für die Erstellung von Gebäudegrundriss Karten von Optical Imagery |
|
| Deep Learning in Synthetic Aperture Radar Tomographic Inversion |
|
| Deep Saliency Smoothing Hashing for Drone Image Retrieval |
|
| Extracting glacier calving fronts by deep learning: the benefit of multi-spectral, topographic and textural input features |
|
| Feasibility studies for the identification of plastics on land surfaces and their functional assignment using optical remote sensing |
|
| Großflächige Rekonstruktion von Gebäudemodellen der Detailierungsstufe 1 (LoD1) aus einem einzelnen SAR-Bild |
|
| InSAR-BM3D: A Nonlocal Filter for SAR Interferometric Phase Restoration |
|
| Interpretation of Structures in Polar Regions with Deep Learning Methods |
|
| Large-scale LoD1 building model reconstruction from a single SAR image |
|
| Learnable manifold alignment (LeMA): A semi-supervised cross-modality learning framework for land cover and land use classification |
|
| Learning to propagate labels on graphs: An iterative multitask regression framework for semi-supervised hyperspectral dimensionality reduction |
|
| Local climate zone-based urban land cover classification from multi-seasonal Sentinel-2 images with a recurrent residual network |
|
| Machbarkeitsstudien zur Identifizierung von Kunststoffen auf Landoberflächen und deren funktionale Zuordnung mittels optischer Fernerkundung |
|
| Machinelles Lernen zur Wolkenentfernung in der satellitengestützten Erdbeobachtung |
|
| MIMA: MAPPER-Induced Manifold Alignment for Semi-Supervised Fusion of Optical Image and Polarimetric SAR Data |
|
| Modern signal processing concepts for remote sensing |
|
| MultiScene: A Large-Scale Dataset and Benchmark for Multiscene Recognition in Single Aerial Images |
|
| Multitask Learning for Human Settlement Extent Regression and Local Climate Zone Classification |
|
| Nonlocal Compressive Sensing-Based SAR Tomography |
|
| Population estimation utilizing Earth Observation data |
|
| Predicting Building Functions by Fusing Social Media and Remote Sensing Data |
|
| Recurrently exploring class-wise attention in a hybrid convolutional and bidirectional LSTM network for multi-label aerial image classification |
|
| SAR4LCZ-Net: A Complex-Valued Convolutional Neural Network for Local Climate Zones Classification Using Gaofen-3 Quad-Pol SAR Data |
|
| So2Sat LCZ42: A Benchmark Data Set for the Classification of Global Local Climate Zones [Software and Data Sets] |
|
| Tomographische Inversion sehr hoch aufgelöster SAR-Daten für die Beobachtung urbaner Infrastruktur |
|
| Towards automatic SAR-optical stereogrammetry over urban areas using very high resolution imagery. |
|
| Very high resolution tomographic SAR inversion for urban infrastructure monitoring a sparse and nonlinear tour |
|
| Vorhersage von Gebäudefunktionen durch die Fusion von Social Media und Fernerkundungsdaten |
|
| Zeitreihenanalyse Optischer Satellitenbilder mit Künstlicher Intelligenz |
|
