Predicting the Lossless Compression Ratio of Remote Sensing Images With Configurational Entropy.
Xinghua ChengZhilin LiPublished in: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2021)
Keyphrases
- remote sensing images
- compression ratio
- lossless coding
- lossless compression
- image compression
- change detection
- multispectral
- remote sensing
- lossy compression
- compression algorithm
- image quality
- jpeg ls
- data compression
- compression scheme
- reconstructed image
- video compression
- marked point processes
- arithmetic coding
- coding method
- higher compression ratio
- compressed images
- land cover
- satellite images
- huffman coding
- predictive coding
- landsat etm
- wavelet transform
- lossless image compression
- multi spectral images
- image coding
- vector quantization
- mutual information
- data sets
- image processing
- multiscale
- pattern recognition
- image analysis
- entropy coding
- spatial resolution
- lower complexity
- image data
- image fusion
- frame rate
- hyperspectral
- peak signal to noise ratio
- inter frame