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20231224033023.0 |
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tu |
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231224s1980 xx ||||| 00| ||eng c |
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|a pubmed24n0723.xml
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|a (DE-627)NLM216985803
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|a (NLM)22499626
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|a DE-627
|b ger
|c DE-627
|e rakwb
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| 041 |
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|a eng
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| 100 |
1 |
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|a Eklundh, J O
|e verfasserin
|4 aut
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| 245 |
1 |
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|a A relaxation method for multispectral pixel classification
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| 264 |
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|c 1980
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| 336 |
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|a Text
|b txt
|2 rdacontent
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| 337 |
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|a ohne Hilfsmittel zu benutzen
|b n
|2 rdamedia
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| 338 |
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|a Band
|b nc
|2 rdacarrier
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| 500 |
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|a Date Completed 02.10.2012
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| 500 |
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|a Date Revised 12.11.2019
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| 500 |
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|a published: Print
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| 500 |
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|a Citation Status PubMed-not-MEDLINE
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| 520 |
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|a Three approaches to reducing errors in multispectral pixel classification were compared: 1) postprocessing (iterated reclassification based on comparison with the neighbors' classes); 2) preprocessing (iterated smoothing, by averaging with selected neighbors, prior to classification); and 3) relaxation (probabilistic classification followed by iterative probability adjustment). In experiments using a color image of a house, the relaxation approach gave markedly superior performance; relaxation eliminated 4-8 times as many errors as the other methods did
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| 650 |
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|a Journal Article
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| 700 |
1 |
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|a Yamamoto, H
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Rosenfeld, A
|e verfasserin
|4 aut
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| 773 |
0 |
8 |
|i Enthalten in
|t IEEE transactions on pattern analysis and machine intelligence
|d 1979
|g 2(1980), 1 vom: 01. Jan., Seite 72-5
|w (DE-627)NLM098212257
|x 1939-3539
|7 nnns
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| 773 |
1 |
8 |
|g volume:2
|g year:1980
|g number:1
|g day:01
|g month:01
|g pages:72-5
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| 912 |
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|a GBV_USEFLAG_A
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| 912 |
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|a SYSFLAG_A
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| 912 |
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|a GBV_NLM
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| 912 |
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|a GBV_ILN_350
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| 951 |
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|a AR
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| 952 |
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|d 2
|j 1980
|e 1
|b 01
|c 01
|h 72-5
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