N. Clinton
Science Bulletin · 2006–2021
A researcher in the Science corpus: 6 papers; trusts 0 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Whom N. Clinton trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts N. Clinton overall
Papers from N. Clinton's perspective
Ordered by how strongly the researchers N. Clinton trusts endorse each paper. Same corpus, a different order for every researcher.
- A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics
- Submitted to Ieee Transactions on Pattern Analysis and Machine Intelligence Learning to Detect Natural Image Boundaries Using Local Brightness, Color, and Texture Cues
- Toward Objective Evaluation of Image Segmentation Algorithms
- A Practical Guide to Support Vector Classication
- Status of land cover classification accuracy assessment
- Multi-resolution, object-oriented fuzzy analysis of remote sensing data to GIS ready information (Research on computing science)
- Spectral resolution requirements for mapping urban areas (IEEE Transactions on Geoscience and Remote Sensing)
- Google Earth Engine: Planetary-scale geospatial analysis for everyone
- Dying for knowledge (Canadian Medical Association Journal)
- Classification and feature extraction for remote sensing images from urban areas based on morphological transformations (IEEE Transactions on Geoscience and Remote Sensing)
Their papers
- Forest disturbance alerts for the Congo Basin using Sentinel-1 (2021) — 183 citations
- 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
- The global distribution and trajectory of tidal flats (2018) — 892 citations
- Accuracy Assessment Measures for Object-based Image Segmentation Goodness (2010) — 347 citations
- Object-based Detailed Vegetation Classification with Airborne High Spatial Resolution Remote Sensing Imagery (2006) — 814 citations