Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
508325 | Computers & Geosciences | 2009 | 6 Pages |
Abstract
Textural analysis is a powerful tool that can be used to enhance subtle detail in raster datasets. It is often used as an input to data classification methods to improve the accuracy of the result. This paper suggests the application of unweighted area sampling to the calculation of texture using grey-level co-occurrence matrices because it gave much improved results compared to the standard method, particularly when global classes are used. Source code in Matlab format can be downloaded from the IAMG server at www.iamg.org/CGEditor/index.htm.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
G.R.J. Cooper,