Peculiarities of Classification of Lossy Compressed Multichannel Remote Sensing Images Using Trained Neural Networks
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-61221-3_7
Reference46 articles.
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4. Radosavljević, M., et al.: Lossy compression of multispectral satellite images with application to crop thematic mapping: a HEVC comparative study. Remote Sens. 12, 1590 (2020). https://doi.org/10.3390/rs12101590
5. Hussain, A.J., Al-Fayadh, A., Radi, N.: Image compression techniques: a survey in lossless and lossy algorithms. Neurocomputing 300, 44–69 (2018)
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