Skip to main content

A method for statistical data fusion on a per‐field basis

Buy Article:

$60.90 plus tax (Refund Policy)

Abstract:

The aim of this study is to develop a new method for data fusion, in a statistical manner, on a per‐field basis that can be applied before a per‐field classification for increasing per‐field classification accuracy. The method developed for statistical data fusion is a model‐based data fusion method which utilizes nested mixture distribution modelling and integrates two multiresolution and multispectral image data each from different wavelengths of different spectral bands of different imaging sensors with different resolutions and having a different number of spectral bands. The statistical data fusion process involves two successive steps.

Document Type: Research Article

DOI: https://doi.org/10.1080/01431160500127567

Affiliations: Çukurova University, Faculty of Arts & Sciences, Department of Statistics, 01330 Adana, Turkey

Publication date: 2005-08-10

More about this publication?
  • Access Key
  • Free ContentFree content
  • Partial Free ContentPartial Free content
  • New ContentNew content
  • Open Access ContentOpen access content
  • Partial Open Access ContentPartial Open access content
  • Subscribed ContentSubscribed content
  • Partial Subscribed ContentPartial Subscribed content
  • Free Trial ContentFree trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect 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