Evaluation of pixel- and object-based approaches for mapping wild oat (Avena sterilis) weed patches in wheat fields using QuickBird imagery for site-specific management

By I. Castillejo-González, José Manuel Peñá-Barragán, Montserrat Jurado-Expósito, F. Mesas-Carrascosa, Francisca López-Granados. 2014

75 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Ecology, Media Technology

View Paper: https://www.semanticscholar.org/paper/c151b5f4ba035195a322772875b42dad30a1bd15

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecology

1. Darius Phiri
2. Justin Morgenroth

In Media Technology

1. Darius Phiri
2. Justin Morgenroth

Citations in the corpus

• Developments in Landsat Land Cover Classification Methods: A Review (2017, methodology): “In land cover classification, OBIA, which has become common in the last decade, has proven to be superior to other methods of classification [101,139,155].”
• Evaluation of UAV imagery for mapping Silybum marianum weed patches (2017, background): “2015), although it also suffers from low spectral separability between weeds and crops (Castillejo-González et al. 2014).”