most citedFUSU: A Multi-temporal-source Land Use Change Segmentation Dataset for Fine-grained Urban Semantic Understanding

3 citations · 3 across the 3 of their papers we have counts for

collaborators

6 papers

cs.CV2025

WakeupUrban: Unsupervised Semantic Segmentation of Mid-20 century Urban Landscapes with Satellite Imagery

Tianxiang Hao, Lixian Zhang, Yingjia Zhang +4

Historical satellite imagery archive, such as Keyhole satellite data, offers rare insights into understanding early urban development and long-term transformation. However, severe…

cs.LG2025

TianQuan-S2S: A Subseasonal-to-Seasonal Global Weather Model via Incorporate Climatology State

Guowen Li, Xintong Liu, Yang Liu +11

Accurate Subseasonal-to-Seasonal (S2S) forecasting is vital for decision-making in agriculture, energy production, and emergency management. However, it remains a challenging and u…

cs.CV2024

A-MAE: A spatial-temporal-spectral unified remote sensing pre-training method based on anchor-aware masked autoencoder

Lixian Zhang, Yi Zhao, Runmin Dong +10

Vast amounts of remote sensing (RS) data provide Earth observations across multiple dimensions, encompassing critical spatial, temporal, and spectral information which is essential…

cs.CV20243 cited

FUSU: A Multi-temporal-source Land Use Change Segmentation Dataset for Fine-grained Urban Semantic Understanding

Shuai Yuan, Guancong Lin, Lixian Zhang +6

Fine urban change segmentation using multi-temporal remote sensing images is essential for understanding human-environment interactions in urban areas. Although there have been adv…

eess.IV2024

Building Bridges across Spatial and Temporal Resolutions: Reference-Based Super-Resolution via Change Priors and Conditional Diffusion Model

Runmin Dong, Shuai Yuan, Bin Luo +6

Reference-based super-resolution (RefSR) has the potential to build bridges across spatial and temporal resolutions of remote sensing images. However, existing RefSR methods are li…

cs.CV2024

DeepLight: Reconstructing High-Resolution Observations of Nighttime Light With Multi-Modal Remote Sensing Data

Lixian Zhang, Runmin Dong, Shuai Yuan +4

Nighttime light (NTL) remote sensing observation serves as a unique proxy for quantitatively assessing progress toward meeting a series of Sustainable Development Goals (SDGs), suc…