An approach to prediction and providing of compression ratio for DCT based coder applied to remote sensing images

• Date: 2016
• Main Authors: Kozhemiakin, Ruslan, Zemliachenko, Oleksandr, Lukin, Volodymyr, Abramov, Sergii, Vozel, Benoit
• Format: Article
• Language: English
• Published: Scientific Centre for Aerospace Research of the Earth Institute of Geological Science National Academy of Sciences of Ukraine, Kyiv, Ukraine 2016
• Subjects: remote sensing; DCT-based coders; compression ratio prediction; hyperspectral data
• Online Access: https://ujrs.org.ua/ujrs/article/view/67
• Journal Title: Ukrainian Journal of Remote Sensing of the Earth

A novel compression ratio prediction and providing technique applicable to noisy and almost noise-free remote sensing images is proposed. It allows predicting and then providing a desired compression ratio for DCT-based coder in automatically manner. The proposed technique is algorithmically simple...