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Qiangqiang Yuan

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Papers (17)

  1. Task-Driven Prompt Learning: A Joint Framework for Multi-modal Cloud Removal and Segmentation cs.CV · 2026 · author #4
  2. Mapping PM2.5 concentration at sub-km level resolution: a dual-scale retrieval method physics.ao-ph · 2019 · author #2
  3. Validation approaches for satellite-based PM2.5 estimation: Assessment and a new approach physics.ao-ph · 2018 · author #3
  4. Geographically and temporally weighted neural networks for satellite-based mapping of ground-level PM2.5 physics.ao-ph · 2018 · author #3
  5. Oblique Stripe Removal in Remote Sensing Images via Oriented Variation cs.CV · 2018 · author #4
  6. Evaluation and comparison of MODIS Collection 6.1 aerosol optical depth against AERONET over regions in China with multifarious underlying surfaces physics.ao-ph · 2018 · author #2
  7. The relationships between PM2.5 and AOD in China: About and behind spatiotemporal variations physics.geo-ph · 2018 · author #2
  8. Hyperspectral Image Denoising Employing a Spatial-Spectral Deep Residual Convolutional Neural Network cs.CV · 2018 · author #1
  9. Real-time and Seamless Monitoring of Ground-level PM2.5 Using Satellite Remote Sensing physics.ao-ph · 2018 · author #4
  10. Missing Data Reconstruction in Remote Sensing image with a Unified Spatial-Temporal-Spectral Deep Convolutional Neural Network cs.CV · 2018 · author #2
  11. A Multi-Scale and Multi-Depth Convolutional Neural Network for Remote Sensing Imagery Pan-Sharpening cs.CV · 2017 · author #1
  12. Estimating regional ground-level PM2.5 directly from satellite top-of-atmosphere reflectance using deep learning physics.ao-ph · 2017 · author #3
  13. Learning a Dilated Residual Network for SAR Image Despeckling cs.CV · 2017 · author #2
  14. The relationships between PM2.5 and meteorological factors in China: Seasonal and regional variations physics.ao-ph · 2017 · author #2
  15. Estimating ground-level PM2.5 by fusing satellite and station observations: A geo-intelligent deep learning approach physics.ao-ph · 2017 · author #3
  16. Boosting the accuracy of multi-spectral image pan-sharpening by learning a deep residual network cs.CV · 2017 · author #2
  17. Point-surface fusion of station measurements and satellite observations for mapping PM2.5 distribution in China: methods and assessment physics.ao-ph · 2016 · author #4

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