Remote sensing imaging techniques make use of data derived from high resolution satellite sensors. Image classification identifies and organises pixels of similar spatial distribution or similar statistical characteristics into the same spectral class (theme). Contextual data can be incorporated, or ‘fused’, with spectral data to improve the accuracy of classification algorithms. In this paper we use Dempster-Shafer’s theory of evidence to achieve data fusion. Incorporating a knowledge base of evidence within the classification process represents a new direction for the development of reliable systems for image classification and the interpretation of remotely sensed data.
|Title of host publication||Unknown Host Publication|
|Number of pages||10|
|Publication status||Published - 7 Sep 2005|
|Event||Artificial Intelligence and Cognitive Science 2005 - |
Duration: 7 Sep 2005 → …
|Conference||Artificial Intelligence and Cognitive Science 2005|
|Period||7/09/05 → …|