메뉴 건너뛰기




Volumn 29, Issue 7, 2008, Pages 729-734

Fusion of hyperspectral images based on second generation curvelet transform and pulse-coupled neural networks

Author keywords

Curvelet transform; Image fusion; PCNN; Target detection

Indexed keywords

ARTIFICIAL INTELLIGENCE; BOOLEAN FUNCTIONS; COMPUTER NETWORKS; CORRELATION METHODS; DATA FUSION; DATA REDUCTION; FEATURE EXTRACTION; FUSION REACTIONS; IMAGE ENHANCEMENT; IMAGE PROCESSING; MATHEMATICAL TRANSFORMATIONS; NEURAL NETWORKS; OBJECT RECOGNITION; PRINCIPAL COMPONENT ANALYSIS; PULSE GENERATORS; RADAR TARGET RECOGNITION; TARGET TRACKING;

EID: 51649109833     PISSN: 10067043     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (8)

References (8)
  • 1
    • 85032751238 scopus 로고    scopus 로고
    • Signal processing for hyper-spectral image exploitation
    • SHAW G, MANKOLAKIS D. Signal processing for hyper-spectral image exploitation [J]. IEEE Signal Processing Magazine, 2002, 19(1): 12-16.
    • (2002) IEEE Signal Processing Magazine , vol.19 , Issue.1 , pp. 12-16
    • Shaw, G.1    Mankolakis, D.2
  • 2
    • 0037946772 scopus 로고    scopus 로고
    • Principal components-based display strategy for spectral imagery
    • KONSOLAKIS T A, DIERSEN D. Principal components-based display strategy for spectral imagery [J]. IEEE Trans Geosci Remote Sens, 2003, 41(3): 708-718.
    • (2003) IEEE Trans Geosci Remote Sens , vol.41 , Issue.3 , pp. 708-718
    • Konsolakis, T.A.1    Diersen, D.2
  • 3
    • 7744236047 scopus 로고    scopus 로고
    • Unsupervised hyperspectral target detection based on multiresolution image fusion
    • GU Yanfeng, JIA Youhua, ZHANG Ye. Unsupervised hyperspectral target detection based on multiresolution image fusion [J]. ICSP2004 Proceeding, IEEE Signal Processing Society, 2004, 2: 1076-1079.
    • (2004) ICSP2004 Proceeding, IEEE Signal Processing Society , vol.2 , pp. 1076-1079
    • Gu, Y.1    Jia, Y.2    Zhang, Y.3
  • 4
    • 0033888809 scopus 로고    scopus 로고
    • Adaptive subspace decomposition and classification for hyperspectral images
    • ZHANG Ye, ZHANG Junping, JIN Ming, et al. Adaptive subspace decomposition and classification for hyperspectral images [J]. Chinese Journal of Electronics, 2000, 9(1): 82-88.
    • (2000) Chinese Journal of Electronics , vol.9 , Issue.1 , pp. 82-88
    • Zhang, Y.1    Zhang, J.2    Jin, M.3
  • 5
    • 27744463043 scopus 로고    scopus 로고
    • Fast discrete curvelete transform
    • Passadena: California Institute of Technology
    • CANDES E J, DEMANET D, DONOHO D L, et al. Fast discrete curvelete transform [R]. Passadena: California Institute of Technology, 2005: 1-43.
    • (2005) , pp. 1-43
    • Candes, E.J.1    Demanet, D.2    Donoho, D.L.3
  • 6
    • 0001219231 scopus 로고
    • Fature linking via synchronization among distributed Asemblies: Simulation of results from cat cortex
    • ECKHORN R, REITBOECK H J, ARNDT M, et al. Fature linking via synchronization among distributed Asemblies: simulation of results from cat cortex [J]. Neural Computer, 1990, 2(3): 293-307.
    • (1990) Neural Computer , vol.2 , Issue.3 , pp. 293-307
    • Eckhorn, R.1    Reitboeck, H.J.2    Arndt, M.3
  • 7
    • 0025508756 scopus 로고
    • Adaptive multiple-band CFAR detection of an optical pattern with unknown spectral distribution
    • REED I S, YU X. Adaptive multiple-band CFAR detection of an optical pattern with unknown spectral distribution [J]. IEEE Trans Acoust Speech Signal Process, 1990, 38(10): 1760-1770.
    • (1990) IEEE Trans Acoust Speech Signal Process , vol.38 , Issue.10 , pp. 1760-1770
    • Reed, I.S.1    Yu, X.2
  • 8
    • 14744284794 scopus 로고    scopus 로고
    • Fusion classification of hyperspectral remote sensing image based on lifting scheme
    • LIU Chunhong, ZHAO Chunhui. Fusion classification of hyperspectral remote sensing image based on lifting scheme [J]. Journal of Harbin Engineering University, 2004, 25(6): 794-798.
    • (2004) Journal of Harbin Engineering University , vol.25 , Issue.6 , pp. 794-798
    • Liu, C.1    Zhao, C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.