81 citations · 188 across the 15 of their papers we have counts for
15 papers
On the Adversarial Robustness of Remote Sensing Semantic Change Detection
Weikang Yu, Yonghao Xu, Pedram Ghamisi
Semantic change detection (SCD) is a bitemporal dense-prediction task that jointly identifies changed regions and their semantic states before and after change. Unlike single-image…
SIGMAE: A Spectral-Index-Guided Foundation Model for Multispectral Remote Sensing
Xiaokang Zhang, Bo Li, Chufeng Zhou +2
Pretraining and fine-tuning have emerged as a new paradigm in remote sensing image interpretation. Among them, Masked Autoencoder (MAE)-based pretraining stands out for its strong…
FarSLIP: Discovering Effective CLIP Adaptation for Fine-Grained Remote Sensing Understanding
Zhenshi Li, Weikang Yu, Dilxat Muhtar +4
As CLIP's global alignment limits its ability to capture fine-grained details, recent efforts have focused on enhancing its region-text alignment. However, current remote sensing (…
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…
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…
DOFA-CLIP: Multimodal Vision-Language Foundation Models for Earth Observation
Zhitong Xiong, Yi Wang, Weikang Yu +7
Earth observation (EO) spans a broad spectrum of modalities, including optical, radar, multispectral, and hyperspectral data, each capturing distinct environmental signals. However…
Change Captioning in Remote Sensing: Evolution to SAT-Cap -- A Single-Stage Transformer Approach
Yuduo Wang, Weikang Yu, Pedram Ghamisi
Change captioning has become essential for accurately describing changes in multi-temporal remote sensing data, providing an intuitive way to monitor Earth's dynamics through natur…
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,…
ChangeMinds: Multi-task Framework for Detecting and Describing Changes in Remote Sensing
Yuduo Wang, Weikang Yu, Michael Kopp +1
Recent advancements in Remote Sensing (RS) for Change Detection (CD) and Change Captioning (CC) have seen substantial success by adopting deep learning techniques. Despite these ad…
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…
Responsible AI for Earth Observation
Pedram Ghamisi, Weikang Yu, Andrea Marinoni +9
The convergence of artificial intelligence (AI) and Earth observation (EO) technologies has brought geoscience and remote sensing into an era of unparalleled capabilities. AI's tra…
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…
Universal Adversarial Defense in Remote Sensing Based on Pre-trained Denoising Diffusion Models
Weikang Yu, Yonghao Xu, Pedram Ghamisi
Deep neural networks (DNNs) have risen to prominence as key solutions in numerous AI applications for earth observation (AI4EO). However, their susceptibility to adversarial exampl…
AI Security for Geoscience and Remote Sensing: Challenges and Future Trends
Yonghao Xu, Tao Bai, Weikang Yu +3
Recent advances in artificial intelligence (AI) have significantly intensified research in the geoscience and remote sensing (RS) field. AI algorithms, especially deep learning-bas…
Txt2Img-MHN: Remote Sensing Image Generation from Text Using Modern Hopfield Networks
Yonghao Xu, Weikang Yu, Pedram Ghamisi +2
The synthesis of high-resolution remote sensing images based on text descriptions has great potential in many practical application scenarios. Although deep neural networks have ac…