Multidimensionālu attēlu spektrālo joslu ekvivalentas redukcijas pieejas objektu klasifikācijai

6533b852fe1ef96bd12abbb8

RESEARCH PRODUCT

Multidimensionālu attēlu spektrālo joslu ekvivalentas redukcijas pieejas objektu klasifikācijai

subject

Datorzinātnes Computer Science Discrete processing of signals Signālu diskrētā apstrāde

description

Darbs veltīts multidimensionālu attēlu apstrādes problēmām, kas saistītas ar šo attēlu spektrālo joslu izvēli un pikseļu klasifikāciju. Izstrādātas jaunas, relatīvi vienkāršas un vispārīgas nevadītās: EMCR, EXCR, ESCR, ECBG un vadītā: XECT joslu izvēles procedūras informatīvu spektrālo joslu komplektu noteikšanai hiperspektrālajos attēlos. Informativitāte tika pārbaudīta ar Beijesa, k-NN, SVM, ELM un citiem klasifikatoriem, no kuriem augstāku klasifikācijas precizitāti sniedza SVM, izmantojot ECBG procedūru. Atslēgvārdi: hiperspketrālu attēlu apstrāde, spektrālo joslu izvēle, hiperspektrālu attēlu klasifikācija, tālizpēte

year	journal	country	edition	language
2019-01-01

https://dspace.lu.lv/dspace/handle/7/49062

PEPhysical Sciences and Engineering
- PE2Fundamental Constituents of Matter
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  - PE2_14Lasers, ultra-short lasers and laser physics
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  - PE2_16Non-linear physics
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  - PE2_15Thermodynamics
- PE1Mathematics
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  - PE6_11Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)
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  - PE6_4Theoretical computer science, formal methods, automata
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- PE7Systems and Communication Engineering
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  - PE7_7Signal processing
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- PE9Universe Sciences
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LSLife Sciences
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- LS2Integrative Biology: from Genes and Genomes to Systems
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SHSocial Sciences and Humanities
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