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Volumn 29, Issue , 2012, Pages 2938-2943

Fusion of remote sensing images using improved ICA mergers based on wavelet decomposition

Author keywords

Image fusion; Independent component analysis (ICA); Principal component analysis (PCA); Wavelets

Indexed keywords

FUSED IMAGES; FUSION METHODS; IMPROVED ICA; INDEPENDENT COMPONENTS; LOCAL REGION; NEGENTROPY; NONGAUSSIANITY; PRINCIPAL COMPONENT ANALYSIS (PCA); REMOTE SENSING IMAGES; SPATIAL INFORMATIONS; SPATIAL RESOLUTION; SPECTRAL DISTORTIONS; WAVELETS;

EID: 84863342357     PISSN: 18777058     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1016/j.proeng.2012.01.418     Document Type: Conference Paper
Times cited : (28)

References (13)
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    • González-Audícana, M.1
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    • 0032030026 scopus 로고    scopus 로고
    • Multisensor image fusion in remote sensing: Concepts, methods and applications
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    • (1998) International Journal of Remote Sensing , vol.19 , pp. 823-854
    • Pohl, C.1    Van Genderen, J.2
  • 6
    • 0024471260 scopus 로고
    • Extracting spectral contrast in landsat thematic mapper image data using selective principal component analysis
    • P. Chavez. Extracting spectral contrast in Landsat Thematic Mapper image data using selective principal component analysis. Photogrammetric Engineering and Remote Sensing. 1989; 55: 339-348.
    • (1989) Photogrammetric Engineering and Remote Sensing , vol.55 , pp. 339-348
    • Chavez, P.1
  • 7
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    • A wavelet transform method to merge Landsat TM and SPOT panchromatic data
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  • 9
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    • A novel remote sensing image fusion method based on independent component analysis
    • F. Chen, Z.Guan, X. Yang, W. Cui. A novel remote sensing image fusion method based on independent component analysis. International Journal of Remote Sensing. 2011; 32: 2745-2763.
    • (2011) International Journal of Remote Sensing , vol.32 , pp. 2745-2763
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.