A comparison of contextual classification methods using Landsat TM

$60.01 plus tax (Refund Policy)

Buy Article:


Abstract. The performance of contextual classification methods is evaluated using Landsat TM data. Classes of pixels adjacent to the pixel to be classified are assumed to be conditionally independent given the class of the pixel to be classified. An assumption of autocorrelated spectral reflectance is made in three of the methods. Methods that utilize information from one image and images from two different occasions are compared.Our results indicate that an autocorrelation method utilizing images from two different occasions performs optimally.

Document Type: Research Article

DOI: http://dx.doi.org/10.1080/014311697216649

Publication date: December 1, 1997

More about this publication?
Related content

Share Content

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
Cookie Policy
ingentaconnect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more