Hyperspectral image compression approaches: opportunities, challenges, and future directions: discussion

R Dusselaar, M Paul - JOSA A, 2017 - opg.optica.org
This paper establishes a review of the recent study in the field of hyperspectral (HS) image
compression approaches. Recently, image compression techniques have achieved …

A detection method for multi-type earth's surface anomalies based on multi-dimensional feature space

H Wei, K Jia, Q Wang, B Cao, J Qi, W Zhao… - … Journal of Digital …, 2024 - Taylor & Francis
On-orbit processing is an important research direction in the real-time remote sensing
detection of earth's surface anomalies (ESSA). However, existing methods cannot …

A block-based inter-band predictor using multilayer propagation neural network for hyperspectral image compression

R Dusselaar, M Paul - arXiv preprint arXiv:1902.04191, 2019 - arxiv.org
In this paper, a block-based inter-band predictor (BIP) with multilayer propagation neural
network model (MLPNN) is presented by a completely new framework. This predictor can …

Hyperspectral Image Coding Using Spectral Prediction Modelling And Optimal Compression Plane

R Xiao - 2018 - researchoutput.csu.edu.au
A typical visible light spectrum for a human is about 400 nanometres (nm) to 700 nm in
wavelength. Hyperspectral (HS) images include hundreds of narrow and contiguous …

Hybrid Adaptive Prediction Mechanisms with Multilayer Propagation Neural Network for Hyperspectral Image Compression

R Xiao, M Paul - Image and Video Technology: 8th Pacific-Rim …, 2018 - Springer
Hyperspectral (HS) image is a three dimensional data image where the 3 rd dimension
carries the wealth of spectrum information. HS image compression is one of the areas that …

[引用][C] Hyperspectral image compression approaches: opportunities, challenges and future directions

RUI DUSSELAAR, M PAUL