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

• Видавець: Scientific Centre for Aerospace Research of the Earth Institute of Geological Science National Academy of Sciences of Ukraine, Kyiv, Ukraine
• Дата: 2016
• Автори: Kozhemiakin, Ruslan, Zemliachenko, Oleksandr, Lukin, Volodymyr, Abramov, Sergii, Vozel, Benoit
• Формат: Стаття
• Мова: English
• Опубліковано: Scientific Centre for Aerospace Research of the Earth Institute of Geological Science National Academy of Sciences of Ukraine, Kyiv, Ukraine 2016
• Теми: дистанційне зондування; ДКП кодери; прогнозування коефіцієнта стиснення; гіперспектральні дані; дистанционное зондирование; ДКП кодеры; предсказание коэффициента сжатия; гиперспектральные данные; remote sensing; DCT-based coders; compression ratio prediction; hyperspectral data
• Онлайн доступ: https://ujrs.org.ua/ujrs/article/view/67

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 and has low computational complexity that allows using it onboard spaceborne or airborne carriers. The study is carried out for test and real-life Hyperion images. It is shown that the proposed technique has high accuracy and it is robust with respect to noise intensity and type. Relative error of prediction of providing compression ratio does not exceed 10%.