Huichun Ye

International Journal of Agricultural and Biological Engineering · 2012–2020

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Huichun Ye trusts overall

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

  1. Giles M. Foody
  2. Jean-François Mas
  3. Edwin Raczko
  4. Joachim Niemeyer
  5. Juan J. Flores
  6. Lucian Dragut
  7. Bogdan Zagajewski

Papers from Huichun Ye's perspective

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

  1. A survey of image classification methods and techniques for improving classification performance
  2. The application of artificial neural networks to the analysis of remotely sensed data
  3. A framework for mapping tree species combining hyperspectral and LiDAR data: Role of selected classifiers and sensor across three spatial scales (International Journal of Applied Earth Observation and Geoinformation)
  4. Newer Classification and Regression Tree Techniques: Bagging and Random Forests for Ecological Prediction (Ecosystems)
  5. UAV Remote Sensing for Urban Vegetation Mapping Using Random Forest and Texture Analysis (Remote Sensing)
  6. An assessment of the effectiveness of a random forest classifier for land-cover classification
  7. Multi-class geospatial object detection and geographic image classification based on collection of part detectors
  8. Contextual classification of lidar data and building object detection in urban areas
  9. Classification accuracy comparison: hypothesis tests and the use of confidence intervals in evaluations of difference, equivalence and non-inferiority
  10. Original paper: Early detection and classification of plant diseases with Support Vector Machines based on hyperspectral reflectance

Their papers