Contextual classification of multispectral image data

Pattern Recognition

Volumn 13, Issue 6, 1981, Pages 429-441

  Swain, Philip H ^a   Vardeman, Stephen B ^a   Tilton, James C ^a  

^a PURDUE UNIVERSITY   (United States)

Author keywords

Compound decision theory; Contextual classification; Multispectral image data; Pattern recognition; Remote sensing

Indexed keywords

COMPOUND DECISION THEORY; IMAGE DATA; PATTERN RECOGNITION; REMOTE SENSING; SPATIAL CONTEXT;

DECISION THEORY AND ANALYSIS; REMOTE SENSING;

PATTERN RECOGNITION SYSTEMS;

EID: 0019728208     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/0031-3203(81)90005-4     Document Type: Article

References (15)

1. Classification of multispectral image data by extraction and classification of homogeneous objects
2. Textural features for image classification
3. Computer classification of remotely sensed multispectral image data by extraction and classification of homogeneous objects
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5. Statistical pattern recognition using contextual information
6. Asymptotically subminimax solutions of compound statistical decision problems
7. The compound decision problem with m × n finite loss matrix
8. The sequential compound decision problem with m × n finite loss matrix
9. Compound Bayes predictors for sequences with apparent Markov structure
10. A note on the applicability of sequence compound decision schemes
11. Admissible solutions of k-extended finite state set and sequence compound decision problems
12. On the extended compound decision problem
13. −1/2) convergence to k-extended” Bayes risk in the sequence compound decision problem with m × n component
14. Contextual classification of multispectral remote sensing data using a multiprocessor system