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
7 papers · 1 filter
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…
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…
S2Looking: A Satellite Side-Looking Dataset for Building Change Detection
Li Shen, Yao Lu, Hao Chen +6
Building-change detection underpins many important applications, especially in the military and crisis-management domains. Recent methods used for change detection have shifted tow…
Looking Outside the Window: Wide-Context Transformer for the Semantic Segmentation of High-Resolution Remote Sensing Images
Lei Ding, Dong Lin, Shaofu Lin +5
Long-range contextual information is crucial for the semantic segmentation of High-Resolution (HR) Remote Sensing Images (RSIs). However, image cropping operations, commonly used f…
DML-GANR: Deep Metric Learning With Generative Adversarial Network Regularization for High Spatial Resolution Remote Sensing Image Retrieval
Yun Cao, Yuebin Wang, Junhuan Peng +4
With a small number of labeled samples for training, it can save considerable manpower and material resources, especially when the amount of high spatial resolution remote sensing…