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Volume 13 | Issue 5 | Year 2026 | Article Id. IJECE-V13I5P120 | DOI : https://doi.org/10.14445/23488549/IJECE-V13I5P120

3D-Computationally Efficient Zero Memory Set Partitioned Embedded Block Coding Algorithm for Onboard WMSNs

Neeraj Kumar, Kaneez Zainab

Received Revised Accepted Published
16 Feb 2026 16 Mar 2026 19 Apr 2026 27 May 2026

Citation :

Neeraj Kumar, Kaneez Zainab, "3D-Computationally Efficient Zero Memory Set Partitioned Embedded Block Coding Algorithm for Onboard WMSNs," International Journal of Electronics and Communication Engineering, vol. 13, no. 5, pp. 238-257, 2026. Crossref, https://doi.org/10.14445/23488549/IJECE-V13I5P120

Abstract

The hyperspectral image is known for its rich spatial–spectral information. The ability to differentiate between the spectra of various substances is provided by the spectral bands, which are essential for analysing materials. The high-dimensional data volume of hyperspectral images, on the other hand, presents challenges for data storage. This hyperspectral image data needs to be processed and sent to the ground station from the onboard flight sensor. The huge amount of data creates a problem for the transmission channel, sensor performance, and sensor energy management. Thus, a hyperspectral image compression algorithm is required to solve the above-mentioned issues before the image data is transmitted to the ground station. The compression algorithm should have high coding efficiency, fast image data processing speed, low coding memory requirement, and embeddedness. In the past, researchers presented many transform-based hyperspectral image compression algorithms, but either they suffer from high coding memory demand or high coding complexity. Among them, the mathematical transform-based set-partitioned compression algorithm uses the set structure to achieve the compression of a hyperspectral image. 3D-Zero Memory Set Partitioned Embedded Block (3D-ZM-SPECK) is a compression algorithm that requires no coding memory and is at par with coding. However, it suffers from a slightly higher coding efficiency than 3D-Listless SPECK. The proposed compression algorithm, 3D-Computationally Efficient Zero Memory Set Partitioned Embedded Block (3D-CE-ZM-SPECK), uses the same partition rule as 3D-ZM-SPECK, but it lowers the coding complexity by using very little coding memory.

Keywords

Compression, Transform Coding, Low Complexity, On-Board Data Processing, Lossy Compression.

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