Bing Xu
Science Bulletin · with Li · 2017–2020
A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Bing Xu trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Chih-Jen Lin (in Computer Vision and Pattern Recognition)
- C. Burges (in Statistical Learning Theory)
Papers from Bing Xu's perspective
Ordered by how strongly the researchers Bing Xu trusts endorse each paper. Same corpus, a different order for every researcher.
- Google Earth Engine: Planetary-scale geospatial analysis for everyone
- LIBSVM: A library for support vector machines
- A Tutorial on Support Vector Machines for Pattern Recognition
- A new data fusion model for high spatial- and temporal-resolution mapping of forest disturbance based on Landsat and MODIS
- Continuous change detection and classification of land cover using all available Landsat data
- Status of land cover classification accuracy assessment
- A Critical Comparison Among Pansharpening Algorithms (IEEE Transactions on Geoscience and Remote Sensing)
- The Effects of Portland's Urban Growth Boundary on Urban Development Patterns and Commuting
- Context-driven fusion of high spatial and spectral resolution images based on oversampled multiresolution analysis (IEEE Transactions on Geoscience and Remote Sensing)
- Support vector machines in remote sensing: A review
Their papers
- Mapping global urban boundaries from the global artificial impervious area (GAIA) data (2020) — 671 citations
- Stable classification with limited sample: transferring a 30-m resolution sample set collected in 2015 to mapping 10-m resolution global land cover in 2017. (2019) — 1,096 citations
- Forest Types Classification Based on Multi-Source Data Fusion (2017) — 37 citations