236 citations
- Chinese Academy of SciencesCN5 papers
- Aerospace Information Research InstituteCN4 papers
- Peking UniversityCN4 papers
- Beijing Normal UniversityCN3 papers
- China University of Geosciences (Beijing)CN3 papers
- Beihang UniversityCN2 papers
- Beijing University of TechnologyCN2 papers
- Institute of Remote Sensing and Digital EarthCN2 papers
- University of Chinese Academy of SciencesCN2 papers
- Wuhan UniversityCN2 papers
- Baidu (China)CN1 paper
- Beijing University of Chemical TechnologyCN1 paper
14 papers
UrbanVGGT: Scalable Sidewalk Width Estimation from Street View Images
Kaizhen Tan, Fan Zhang
Sidewalk width is an important indicator of pedestrian accessibility, comfort, and network quality, yet large-scale width data remain scarce in most cities. Existing approaches typ…
Multisource Collaborative Domain Generalization for Cross-Scene Remote Sensing Image Classification
Zhu Han, Ce Zhang, Lianru Gao +4
Cross-scene image classification aims to transfer prior knowledge of ground materials to annotate regions with different distributions and reduce hand-crafted cost in the field of…
Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification
Zhu Han, Jin Yang, Lianru Gao +3
Deep learning (DL) has been widely applied into hyperspectral image (HSI) classification owing to its promising feature learning and representation capabilities. However, limited b…
Research on the Spatial Data Intelligent Foundation Model
Shaohua Wang, Xing Xie, Yong Li +28
This report focuses on spatial data intelligent large models, delving into the principles, methods, and cutting-edge applications of these models. It provides an in-depth discussio…
SpectralDiff: A Generative Framework for Hyperspectral Image Classification with Diffusion Models
Ning Chen, Jun Yue, Leyuan Fang +1
Hyperspectral Image (HSI) classification is an important issue in remote sensing field with extensive applications in earth science. In recent years, a large number of deep learnin…
DouFu: A Double Fusion Joint Learning Method For Driving Trajectory Representation
Han Wang, Zhou Huang, Xiao Zhou +3
Driving trajectory representation learning is of great significance for various location-based services, such as driving pattern mining and route recommendation. However, previous…