Parallelised fault-tolerant Integer KLT implementation for lossless hyperspectral image compression on board satellites

The Karhunen-Loeve Transform (KLT) has been used as a spectral decorrelator in multi-component image compression. The Integer KLT is the integer approximation of KLT, which enables lossless hyperspectral image compression. In this paper, the effect of single-bit errors on the performance of the Integer KLT is investigated. An error detection and correction (EDAC) method that is based on the Freivald's simple checker is proposed for the matrix factorization part of the algorithm. A technique to reduce the computational complexity is proposed too, which is based on a fixed sampling of the covariance matrix calculation. The low-complexity fault-tolerant Integer KLT is implemented on an 8-core Texas Instruments DSP (TMS320C6678) using the OpenMP ® environment. Experimental results on the compression performance, latency and power consumption are reported. The parallelized Integer KLT implementation processes a Hyperion spaceborne hyperspectral image in 3 seconds with a throughput of 66.9 Mbps.