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Volumn , Issue , 2010, Pages

Using spatial correspondences for hyperspectral knowledge transfer: Evaluation on synthetic data

Author keywords

Classification; DIRSIG; HYDICE; Hyperspectral; Knowledge transfer; MASTER; Synthetic

Indexed keywords

CLASSIFICATION; DIRSIG; HYDICE; HYPERSPECTRAL; KNOWLEDGE TRANSFER; MASTER; SYNTHETIC;

EID: 78649252084     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WHISPERS.2010.5594944     Document Type: Conference Paper
Times cited : (6)

References (14)
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    • Advanced synthetic image generation models and their application to multi/hyperspectral algorithm development
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    • (1999) Proceedings of SPIE , vol.3584 , pp. 211
    • Schott, J.R.1    Brown, S.D.2    Raqueno, R.V.3    Gross, H.N.4    Robinson, G.5
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    • An information-theoretic approach to spectral variability, similarity, and discrimination for hyperspectral image analysis
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.