Xin SU  苏鑫
Scholar

Xin SU 苏鑫

Google Scholar ID: aSqNc38AAAAJ
Wuhan University
Multi-temporal remote sensing image processingObject detection
Citations & Impact
All-time
Citations
1,522
 
H-index
19
 
i10-index
35
 
Publications
20
 
Co-authors
0
 
Contact
No contact links provided.
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • - Published numerous papers in top journals such as Information Fusion, IEEE TIP, IEEE TGRS, ISPRS, and JAG
  • - Some representative publications:
  • - Expediting Building Footprint Segmentation from High-resolution Remote Sensing Images via progressive lenient supervision
  • - SITSMamba for Crop Classification based on Satellite Image Time Series
  • - Urban region function classification via fusing optical imagery and social media data: A spatio-temporal Transformer interaction approach
  • - Spatiotemporal masked pre-training for advancing crop mapping on satellite image time series with limited labels
  • - Hyperspectral Image Denoising Based on Hyper-Laplacian Total Variation in Spectral Gradient Domain
  • - MTCSAR: Fusing Multi-Temporal Interaction with Coherence Prior for SAR Image Denoising
  • - PHTrack: Prompting for Hyperspectral Video Tracking
  • - Building-Road Collaborative Extraction From Remote Sensing Images via Cross-Task and Cross-Scale Interaction
  • - PCDASNet: Position-Constrained Differential Attention Siamese Network for Building Damage Assessment
  • - SAAN: Similarity-aware attention flow network for change detection with VHR remote sensing images
  • - Statistic Ratio Attention Guided Siamese U-Net for SAR Image Semantic Change Detection
  • - Decoupling semantic and edge representations for building footprint extraction from remote sensing images
  • - Fast hyperspectral image denoising and destriping method based on graph Laplacian regularization
  • - A coarse-to-fine boundary refinement network for building footprint extraction from remote sensing imagery
  • - Inundation impact on croplands of 2020 flood event in three Provinces of China
  • - Deep image interpolation: A unified unsupervised framework for pansharpening
  • - Multivehicle object tracking in satellite video enhanced by slow features and motion features
  • - Satellite video super-resolution via multiscale deformable convolution alignment and temporal grouping projection
  • - CFCANet: A complete frequency channel attention network for SAR image scene classification
  • - Spatial–temporal gray-level co-occurrence aware CNN for SAR image change detection
  • - Scale-robust deep-supervision network for mapping building
Research Experience
  • - Postdoctoral Researcher at INRIA, France, 2015-2018
  • - Principal Investigator and participant in multiple National Natural Science Foundation of China, Key R&D Program, and National Defense Research projects
Education
  • - Ph.D. in Signal and Image Processing, Telecom ParisTech, France, 2015
Background
  • - Associate Professor, School of Artificial Intelligence
  • - Supervisor for Master and Doctoral students
  • - Main research areas include intelligent analysis of sequential images, spatiotemporal intelligent target recognition, and large-scale spatiotemporal remote sensing models
Miscellany
  • - Long-term recruitment of Master and Doctoral students in the fields of artificial intelligence, computer science, electronic information, and geomatics and remote sensing
Co-authors
0 total
Co-authors: 0 (list not available)