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Automatic Adaptive Lossy Compression of Multichannel Remote Sensing ImagesRecent Advances in Image and Video Coding, InTech, 2016
Book sections
hal-02135700v1
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Despeckling of Multitemporal Sentinel SAR Images and Its Impact on Agricultural Area ClassificationRecent Advances and Applications in Remote Sensing, InTech, 2018, ⟨10.5772/intechopen.72577⟩
Book sections
hal-02135685v1
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Prediction of Compression Ratio for DCT-Based Coders With Application to Remote Sensing ImagesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018, 11 (1), pp.257-270. ⟨10.1109/JSTARS.2017.2781906⟩
Journal articles
hal-02135679v1
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Peculiarities of 3D Compression of Noisy Multichannel ImagesStojanovic, R and Jozwiak, L and Jurisic, D. IEEE, pp.331--334, 2015, 978-1-4799-8999-7
Books
hal-01380033v1
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DCT-Based Color Image Denoising: Efficiency Analysis and PredictionColor Image and Video Enhancement, Springer International Publishing, pp.55-80, 2015, ⟨10.1007/978-3-319-09363-5_3⟩
Book sections
hal-02476754v1
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Lossy Compression of Landsat Multispectral Images5th Mediterranean Conference on Embedded Computing (MECO), Jun 2016, Bar, Montenegro. pp.104--107
Conference papers
hal-01413287v1
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Processing of Multichannel Remote-Sensing Images with Prediction of Performance ParametersEnvironmental Applications of Remote Sensing, InTech, pp.447-450, 2016
Book sections
hal-02135707v1
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Image Quality Prediction for DCT-based Compression14th International Conference on the Experience of Designing and Application of CAD Systems in Microelectronics (CADSM), Feb 2017, Svalyava, Ukraine. ⟨10.1109/CADSM.2017.7916121⟩
Conference papers
hal-01622073v1
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