An automatic approach to lossy compression of AVIRIS images
NN Ponomarenko, VV Lukin… - … and Remote Sensing …, 2007 - ieeexplore.ieee.org
2007 IEEE International Geoscience and Remote Sensing Symposium, 2007•ieeexplore.ieee.org
Lossy compression of AVIRIS hyperspectral images is considered. An automatic approach
to selection of compression parameters depending on noise characteristics in component
images is proposed. Several ways of performing lossy compression are discussed and
compared. It is shown that in order to minimize distortions and provide a sufficient
compression ratio it is reasonable to group the channels according to the evaluated noise
variances in subband images and depending upon the sensor that produces sets of …
to selection of compression parameters depending on noise characteristics in component
images is proposed. Several ways of performing lossy compression are discussed and
compared. It is shown that in order to minimize distortions and provide a sufficient
compression ratio it is reasonable to group the channels according to the evaluated noise
variances in subband images and depending upon the sensor that produces sets of …
Lossy compression of AVIRIS hyperspectral images is considered. An automatic approach to selection of compression parameters depending on noise characteristics in component images is proposed. Several ways of performing lossy compression are discussed and compared. It is shown that in order to minimize distortions and provide a sufficient compression ratio it is reasonable to group the channels according to the evaluated noise variances in subband images and depending upon the sensor that produces sets of subband images. It is shown that for real life images the attained compression ratios can be of the order 8…25.
ieeexplore.ieee.org
以上显示的是最相近的搜索结果。 查看全部搜索结果