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Volumn 37, Issue , 2008, Pages 871-875

Study on independent component analysis' application in classification and change detection of multispectral images

Author keywords

Change detection; Image classification; Independent component analysis; Principal component analysis

Indexed keywords

BLIND SOURCE SEPARATION; CLASSIFICATION (OF INFORMATION); IMAGE ANALYSIS; IMAGE CLASSIFICATION; IMAGE PROCESSING; PRINCIPAL COMPONENT ANALYSIS; REMOTE SENSING; SPECTROSCOPY;

EID: 85021713819     PISSN: 16821750     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (15)

References (12)
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  • 6
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    • Using vegetation reflectance variability for species level classification of hyperspectral data
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  • 7
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    • Automated analysis of ultrahigh resolution remote sensing data for biotype mapping: New possibilities and challenges
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    • Ehlers, M.1    Gahler, M.2    Janowsky, R.3
  • 8
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    • Application of highresolution satellite images in forestry and habitat mapping - Evaluation of IKONOS images through a hungarian case study
    • Ottawa, Canada
    • Kristof, D., Csato, E. and Ritter, D, "Application of highresolution satellite images in forestry and habitat mapping - evaluation of IKONOS images through a Hungarian case study", Paper presented at the Symposium on Geospatial Theory, Processing and Application, Ottawa, Canada, 2002.
    • (2002) The Symposium on Geospatial Theory, Processing and Application
    • Kristof, D.1    Csato, E.2    Ritter, D.3
  • 9
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    • A target fusion-based approach for classifying high spatial resolution imagery
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  • 10
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    • Remote image classification based on independent component analysis
    • Zeng Shenggen, Wang Xiaomin, Fan Ruibin, Xia Deshen, "Remote Image Classification Based on Independent Component Analysis", Journal of remote sensing, 8(2):150-157, 2004
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  • 12
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.