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Volumn , Issue , 2007, Pages 153-162

Edge-based prediction for lossless compression of hyperspectral images

Author keywords

Hyperspectral images; Lossless compression; Non linear prediction

Indexed keywords

ERROR ANALYSIS; IMAGE ANALYSIS; IMAGE COMPRESSION; IMAGE RECONSTRUCTION; IMAGE RESOLUTION; PIXELS;

EID: 34547643714     PISSN: 10680314     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DCC.2007.36     Document Type: Conference Paper
Times cited : (18)

References (16)
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  • 2
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    • Optimized onboard lossless and near-lossless compression of hyperspectral data using CALIC
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    • Magli, E.1    Olmo, E.2    Quacchio, E.3
  • 4
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    • Clustered DPCM for the lossless compression of hyperspectral images
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  • 5
    • 33144468159 scopus 로고    scopus 로고
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    • Detection algorithms for hyperspectral imaging applications
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    • Manolakis, D.1    Shaw, G.2
  • 8
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    • Adaptive Edge Based Prediction for Lossless Image Compression,
    • Master's Thesis, CSEE Department, West Virginia University, Morgantown, WV
    • Parthe, R. G., "Adaptive Edge Based Prediction for Lossless Image Compression," Master's Thesis, CSEE Department, West Virginia University, Morgantown, WV
    • Parthe, R.G.1
  • 10
    • 0005251413 scopus 로고    scopus 로고
    • A system overview of the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS)
    • Porter W., and Enmark H., "A system overview of the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS)," Proceedings SPIE, 834, pp. 22-31, 1997.
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    • Porter, W.1    Enmark, H.2
  • 11
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    • Low-complexity lossless compression of hyperspectral imagery via linear prediction
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    • August
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.