B. Penna, T. Tillo, E. Magli and G. Olmo, “Transform Coding Techniques for Lossy Hyperspectral Data Compression,” IEEE Transactions on Geoscience and Remote Sensing, Vol. 45, No. 5, 2007, pp. 1408-1421.

has been cited by the following article:

• TITLE: Fast Encoding-Decoding of 3D Hyperspectral Images Using a Non-Supervised Multimodal Compression Scheme

  AUTHORS: Mourad Lahdir, Amine Nait-ali, Soltane Ameur

  KEYWORDS: Multimodal Compression, Hyperspectral Images, 3D-SPIHT

  JOURNAL NAME: Journal of Signal and Information Processing, Vol.2 No.4, November 3, 2011

  ABSTRACT: We introduce in this paper an extension of the Multimodal Compression technique (MC) for the purpose of coding hyperspectral image sequences. The main idea requires few steps, namely: (1) reducing the size of the sequence by inserting smooth images containing less information into the remaining images of the same sequence, (2) then coding the new compacted sequence using 3D-SPIHT algorithm. In this new scheme, called MC-3D-SPIHT, the insertion is achieved only in the contour of each image, according to a non-supervised way, so that one can preserve the Region of Interest (ROI) quality. For this purpose, a mixing function is employed. After the decoding process, inserted images are extracted by a separation function and the original sequence is reconstructed. By considering data from AVIRIS database, we will show how one decrease significantly the computing time for both coding and decoding.