Lossless Data Compression for Infrared Hyperspectral Sounders - An Overview
نویسندگان
چکیده
Hyperspectral sounding data requires accuracy for useful retrieval of atmospheric temperature, moisture, trace gases, clouds, aerosols and surface properties. Therefore, compression of hyperspectral sounding data is better to be lossless or near lossless. Given the large volume of three-dimensional hyperspectral data that will be generated by the hyperspectral sounders such as AIRS, CrIS, IASI, GIFTS and HES instruments, the use of robust data compression techniques will be beneficial to data transfer and archive. This paper reviews wavelet-based lossless data compression schemes for the 3D hyperspectral data using 3D integer wavelet transforms followed by 3D EZW and 3D SPIHT zerotree coding schemes. We extend both zerotree coding schemes to take on any size of satellite data, each of whose dimensions need not be divisible by 2 N , where N is the layers of the wavelet decomposition being performed. The 2D wavelet-based JPEG-2000 compression scheme and some other prediction-based 2D lossless compression schemes such as CALIC and JPEG-LS are also investigated. Their compression ratios are presented.
منابع مشابه
Investigation of Predictor-based Schemes for Lossless Compression of 3D Hyperspectral Sounder Data
Hyperspectral sounder data is used for retrieval of surface properties and atmospheric temperature, moisture, trace gases, clouds and aerosols. This large volume three-dimensional data is taken from many scan lines containing cross-track footprints, each with thousands of infrared channels. Unlike hyperspectral imager data compression, hyperspectral sounder data compression is better to be loss...
متن کاملLossless Compression Studies for Noaa Goes-r Hyperspectral Environmental Suite
In the era of contemporary and future ultraspectral sounders (e.g. AIRS (Aumann et al. 2001), CrIS (Bloom 2001), IASI (Phulpin et al. 2002), GIFTS (Smith et al. 2002), HES (Huang et al. 2003) etc.), better inference of atmospheric, cloud, and surface parameters is feasible for improved weather forecast and climate prediction. Given the large volume of three-dimensional data generated by an ultr...
متن کاملP1.35 Advances in Compression of Ultraspectral Sounder Data
In the era of contemporary and future ultraspectral sounders such as Atmospheric Infrared Sounder (AIRS) (Aumann et al. 2001), Cross-track Infrared Sounder (CrIS) (Bloom 2001), Infrared Atmospheric Sounding Interferometer (IASI) (Phulpin et al. 2002), Geosynchronous Imaging Fourier Transform Spectrometer (GIFTS) (Smith et al. 2002), and Hyperspectral Environmental Suite (HES) (Huang et al. 2003...
متن کاملSpectral DPCM for Lossless Compression of 3D Hyperspectral Sounding Data
A spectral linear prediction compression scheme for lossless compression of hyperspectral images is proposed in this paper. Since hyperspectral images have a great deal of correlation from band to band, spectral linear prediction algorithm, which utilizes information from several bands, is very efficient for compression purposes. The proposed algorithm is compared to JPEG-LS and CALIC encoding ...
متن کاملHyperspectral Image Compression Using Three-Dimensional Wavelet Coding: A Lossy-to-Lossless Solution†
We propose an embedded, block-based, image wavelet transform coding algorithm of low complexity. The embedded coding of Set Partitioned Embedded bloCK (SPECK) algorithm is modified and extended to three dimensions. The resultant algorithm, three-Dimensional Set Partitioned Embedded bloCK (3D-SPECK), efficiently encodes 3D volumetric image data by exploiting the dependencies in all dimensions. 3...
متن کامل