activity
20242026
most citedGeospatial Foundation Models to Enable Progress on Sustainable Development Goals

1 citations · 1 across the 1 of their papers we have counts for

collaborators

5 papers

cs.CV20261 cited

Geospatial Foundation Models to Enable Progress on Sustainable Development Goals

Pedram Ghamisi, Weikang Yu, Xiaokang Zhang +5

Foundation Models (FMs) are large-scale, pre-trained artificial intelligence (AI) systems that have revolutionized natural language processing and computer vision, and are now adva…

cs.CV2025

EuroMineNet: A Multitemporal Sentinel-2 Benchmark for Spatiotemporal Mining Footprint Analysis in the European Union (2015-2024)

Weikang Yu, Vincent Nwazelibe, Xianping Ma +4

Mining activities are essential for industrial and economic development, but remain a leading source of environmental degradation, contributing to deforestation, soil erosion, and…

cs.CV2025

Auto-Prompting SAM for Weakly Supervised Landslide Extraction

Jian Wang, Xiaokang Zhang, Xianping Ma +2

Weakly supervised landslide extraction aims to identify landslide regions from remote sensing data using models trained with weak labels, particularly image-level labels. However,…

cs.CV2024

MineNetCD: A Benchmark for Global Mining Change Detection on Remote Sensing Imagery

Weikang Yu, Xiaokang Zhang, Xiao Xiang Zhu +2

Monitoring changes triggered by mining activities is crucial for industrial controlling, environmental management and regulatory compliance, yet it poses significant challenges due…

cs.CV2024

MaskCD: A Remote Sensing Change Detection Network Based on Mask Classification

Weikang Yu, Xiaokang Zhang, Samiran Das +2

Change detection (CD) from remote sensing (RS) images using deep learning has been widely investigated in the literature. It is typically regarded as a pixel-wise labeling task tha…