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A new approach to controlling compression-induced ...
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由 RI Faulconbridge 著作2003被引用 4 次 — A new approach to controlling compression-induced distortion of hyperspectral images ; Article #: ; Date of Conference: 21-25 July 2003 ; Date Added to IEEE Xplore ...
Induced Distortion of Hyperspectral Images
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由 RI Faulconbridge 著作2003被引用 4 次 — An alternative approach is to perform a form of unsupervised classification of the image prior to compression and use the results of that clustering to control ...
R. Ian Faulconbridge
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R. Ian Faulconbridge, Mark R. Pickering, Michael J. Ryan: Unsupervised band removal leading to improved classification accuracy of hyperspectral images.
R. Ian Faulconbridge's research works | University of South ...
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A new approach to controlling compression-induced distortion of hyperspectral images · Conference Paper. August 2003. ·. 6 Reads. ·. 3 Citations. R.I. ...
Ian Faulconbridge
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A new approach to controlling compression-induced distortion of hyperspectral images. RI Faulconbridge, MR Pickering, MJ Ryan, X Jia. IGARSS 2003. 2003 IEEE ...
An Architecture for the Compression of Hyperspectral ...
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由 MR Pickering 著作被引用 40 次 — 'An Architecture for the Compression of Hyperspectral Imagery' published in 'Hyperspectral Data Compression'
(PDF) Spectral Distortion in Lossy Compression of ...
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2024年11月2日 — In this letter a novel method suitable for the lossless compression of hyperspectral imagery is presented. The proposed method generalizes ...
Unsupervised band removal leading to improved classification ...
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A new approach to controlling compression-induced distortion of hyperspectral images · R. I. FaulconbridgeM. PickeringM. RyanX. Jia. Environmental Science ...
Lossless and near-lossless compression of hyperspectral ...
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由 Y Nian 著作2015被引用 19 次 — In this paper, we proposed efficient DSC-based lossless and near-lossless compression algorithms for hyperspectral images by using multilevel scalar codes, ...
Approaches to Classification of Multichannel Images
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由 V Lukin 著作2006被引用 16 次 — The comparison of different approaches to classification of multichannel remote sensing images obtained by spaceborne imaging systems is presented.