1.9k citations · 6.2k across the 72 of their papers we have counts for
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CangLing-KnowFlow: A Unified Knowledge-and-Flow-fused Agent for Comprehensive Remote Sensing Applications
Zhengchao Chen, Haoran Wang, Jing Yao +5
The automated and intelligent processing of massive remote sensing (RS) datasets is critical in Earth observation (EO). Existing automated systems are normally task-specific, lacki…
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 (…
Label-Efficient 3D Forest Mapping: Self-Supervised and Transfer Learning for Instance Segmentation, Semantic Segmentation, and Species Classification
Aldino Rizaldy, Fabian Ewald Fassnacht, Ahmed Jamal Afifi +3
Detailed structural and species information on individual tree level is increasingly important to support precision forestry, biodiversity conservation, and provide reference data…
Survey of Multimodal Geospatial Foundation Models: Techniques, Applications, and Challenges
Liling Yang, Ning Chen, Jun Yue +5
Foundation models have transformed natural language processing and computer vision, and their impact is now reshaping remote sensing image analysis. With powerful generalization an…
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…
UniVector: Unified Vector Extraction via Instance-Geometry Interaction
Yinglong Yan, Jun Yue, Shaobo Xia +7
Vector extraction retrieves structured vector geometry from raster images, offering high-fidelity representation and broad applicability. Existing methods, however, are usually tai…
FSG-Net: Frequency-Spatial Synergistic Gated Network for High-Resolution Remote Sensing Change Detection
Zhongxiang Xie, Shuangxi Miao, Yuhan Jiang +5
Change detection from high-resolution remote sensing images lies as a cornerstone of Earth observation applications, yet its efficacy is often compromised by two critical challenge…
Electrolyzers-HSI: Close-Range Multi-Scene Hyperspectral Imaging Benchmark Dataset
Elias Arbash, Ahmed Jamal Afifi, Ymane Belahsen +4
The global challenge of sustainable recycling demands automated, fast, and accurate, state-of-the-art (SOTA) material detection systems that act as a bedrock for a circular economy…
HyperPointFormer: Multimodal Fusion in 3D Space with Dual-Branch Cross-Attention Transformers
Aldino Rizaldy, Richard Gloaguen, Fabian Ewald Fassnacht +1
Multimodal remote sensing data, including spectral and lidar or photogrammetry, is crucial for achieving satisfactory land-use / land-cover classification results in urban scenes.…
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…
FlexiMo: A Flexible Remote Sensing Foundation Model
Xuyang Li, Chenyu Li, Pedram Ghamisi +1
The rapid expansion of multi-source satellite imagery drives innovation in Earth observation, opening unprecedented opportunities for Remote Sensing Foundation Models to harness di…
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,…