Contextual classification of Landsat TM images to forest inventory cover types

By Steen Magnussen, P. Boudewyn, M. Wulder. 2004

76 citations recorded by the source corpus.

Subfields: Ecology, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/e2ddf9844cd5950a6c1aa635d182a27e6efa0a5f

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 Environmental Engineering

1. Darius Phiri
2. Justin Morgenroth

Citations in the corpus

• Developments in Landsat Land Cover Classification Methods: A Review (2017, methodology): “[59] applied contextual classification to classify forest cover and compared different contextual classifiers with maximum likelihood.”
• A survey of image classification methods and techniques for improving classification performance (2007, unknown): “In addition to object-oriented and per-field classifications, contextual classifiers have also been developed to cope with the problem of intraclass spectral variations (Gong and Howarth 1992, Kartikeyan et al. 1994, Flygare 1997, Sharma and Sarkar 1998, Keuchel et al. 2003, Magnussen et al. 2004).”