December 9, 2017
Comments Off on Predictive Lossless Compression of Regions of Interest in Hyperspectral Images With No-Data Regions
Posted in: IEEE 2017, MATLAB
Predictive Lossless Compression of Regions of Interest in Hyperspectral Images With No-Data Regions Abstract: This paper addresses the problem of efficient predictive lossless compression on the regions of interest (ROIs) in the hyperspectral images with no-data regions. We propose a two-stage prediction scheme, where a context-similarity-based weighted average prediction is followed by recursive least square […]
December 9, 2017
Comments Off on Adaptive Spectral-Spatial Compression of Hyperspectral Image With Sparse Representation
Posted in: IEEE 2017, MATLAB
Adaptive Spectral-Spatial Compression of Hyperspectral Image With Sparse Representation Abstract: Sparse representation (SR) can transform spectral signatures of hyperspectral pixels into sparse coefficients with very few nonzero entries, which can efficiently be used for compression. In this paper, a spectral-spatial adaptive SR (SSASR) method is proposed for hyperspectral image (HSI) compression by taking advantage of […]