Lijian Han

Remote Sensing · 2014

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Lijian Han trusts

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Vladimir Naumovich Vapnik (in Statistical Learning Theory)
  2. Niko Speybroeck (in Agronomy and Crop Science)

Papers from Lijian Han's perspective

Ordered by how strongly the researchers Lijian Han trusts endorse each paper. Same corpus, a different order for every researcher.

  1. A kernel functions analysis for support vector machines for land cover classification (International Journal of Applied Earth Observation and Geoinformation)
  2. Classification and regression trees
  3. A Tutorial on Support Vector Machines for Pattern Recognition
  4. Training set size requirements for the classification of a specific class
  5. Per-pixel vs. object-based classification of urban land cover extraction using high spatial resolution imagery (Remote Sensing of Environment)
  6. Comparison of pixel‐based and object‐oriented image classification approaches—a case study in a coal fire area, Wuda, Inner Mongolia, China
  7. A comparison of pixel-based and object-based image analysis with selected machine learning algorithms for the classification of agricultural landscapes using SPOT-5 HRG imagery
  8. Chervonenkis: On the uniform convergence of relative frequencies of events to their probabilities
  9. Random forest classifier for remote sensing classification
  10. The Optimality of Naive Bayes (The Florida AI Research Society)

Their papers