Abstract
In the classification of pixels of a multispectral image by methods of supervised classification, a problem can arise in case when an unknown class is present. In this paper, we suggest a method that gives good results in such a case. The method provides an estimation for a posteriori probability vectors (and consequently, classification), and, besides, estimates the prior probability of classes, including the unknown one, and thus, the areas occupied by every class.
Original language | English |
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Title of host publication | Proceedings of International Symposium on Computer Vision - ISCV 1995 |
Place of Publication | Los Alamitos, CA |
Publisher | IEEE |
Pages | 443-448 |
Number of pages | 6 |
ISBN (Print) | 0-8186-7190-4 |
DOIs | |
Publication status | Published - 1995 |
Event | IEEE International Symposium on Computer Vision 1995 - Coral Gables, United States Duration: 21 Nov 1995 → 23 Nov 1995 |
Conference
Conference | IEEE International Symposium on Computer Vision 1995 |
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Country/Territory | United States |
City | Coral Gables |
Period | 21/11/95 → 23/11/95 |
Keywords
- ADLIB-ART-568
- EOS