Practical guidelines for choosing GLCM textures to use in landscape classification tasks over a range of moderate spatial scales

By Mryka Hall-Beyer. 2017

354 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Ecology, Media Technology

View Paper: https://www.semanticscholar.org/paper/35aa187d3c6eb31876c6910f98c60a46c4ea5bfa

How researchers see this paper

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

In Artificial Intelligence

1. Andrea Tassi
2. Marco Vizzari

In Ecology

1. Andrea Tassi
2. Marco Vizzari

In Media Technology

1. Andrea Tassi
2. Marco Vizzari

Citations in the corpus

• Object-Oriented LULC Classification in Google Earth Engine Combining SNIC, GLCM, and Machine Learning Algorithms (2020, methodology): “The subsequent application of the Principal Component Analysis can help in e ff ectively reducing the high dimensionality of GLCM outputs in a few, representative bands [14].”