Beijing

Kai Tang (唐 凯)

Advanced
@tangkai-RS

Ph.D. candidate at Beijing Normal University (Sep 2022 – Jun 2026), focusing on change detection, data fusion, and agricultural applications.

ClearSCD. [ISPRS J P&RS 2024] The ClearSCD model: Comprehensively leveraging semantics and change relationships for semantic change detection in high spatial resolution remote sensing imagery

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AnytimeFormer. [RSE 2026] AnytimeFormer: Fusing irregular and asynchronous SAR-optical time series to reconstruct reflectance at any given time

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ChangeAnywhere. [arXiv 2024] ChangeAnywhere: Sample generation for remote sensing change detection via semantic latent diffusion model

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DreamCD. [JAG 2026] DreamCD: A change-label-free framework for change detection via a weakly conditional semantic diffusion model in optical VHR imagery

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Shield. [JRS 2026] Unsupervised detection of disaster-affected areas by combining the strengths of change detection and anomaly detection: target for on-orbit application

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near-real-time-harvest-detection. [2026] A near-real-time and unsupervised framework for grain crop harvest detection using Sentinel-2 Imagery: the reaped index (RI) and automated thresholding

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