Referenced Items are not available for this document.
A new criterion for classifying multispectral remote sensing images or textured images by using spectral and spatial information is proposed. The images are modeled with a hierarchical Markov Random Field (MRF) model that consists of the observed intensity process and the hidden class label process. The class labels are estimated according to the maximum a posteriori (MAP) criterion, but some reasonable approximations are used to reduce the computational load. A stepwise classification algorithm is derived and is confirmed by simulation and experimental results
Published in:
Image Processing, IEEE Transactions on
(Volume:4
,
Issue:
9
)
Date of Publication: Sep 1995
- Page(s):
- 1333 - 1339
- ISSN :
- 1057-7149
- INSPEC Accession Number:
- 5055471
- Digital Object Identifier :
- 10.1109/83.413180
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 06 August 2002
- Issue Date :
- Sep 1995
- Sponsored by :
- IEEE Signal Processing Society
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