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Title: A novel data re-utilization strategy for real-time hyperspectral image compression
Authors: Melian, Jose
Diaz, Maria 
Morales, Alejandro 
Guerra, Raul 
Lopez, Sebastian 
Lopez, Jose F. 
UNESCO Clasification: 3307 Tecnología electrónica
Keywords: Cameras
Data Mining
Hyperspectral Imaging
Image Coding
Real-Time Systems, et al
Issue Date: 2022
Journal: IEEE Geoscience and Remote Sensing Letters 
Abstract: The HyperLCA compressor is a transform based algorithm specifically designed for the real-time compression of hyperspectral images captured by pushbroom scanners, using limited computational resources. It is based on the HyperLCA Transform, which follows an unmixing-like strategy to independently compress each hyperspectral frame in a causal manner. A novel approach with respect to the original HyperLCA Transform is introduced in this work. By reusing the information used to compress one frame in the subsequent frames, it has been possible to increase the HyperLCA Transform compression performance and to reduce its computational burden. Additionally, the proposed approach is applicable not only to the targeted compressor but also to other causal hyperspectral analysis algorithms based on orthogonal projections and/or unmixing like strategies. The proposed solution has been tested in a real UAV-based acquisition platform, demonstrating the ability of our proposal to compress and transmit the captured hyperspectral data to a ground station in real-time.
ISSN: 1545-598X
DOI: 10.1109/LGRS.2022.3181226
Source: IEEE Geoscience and Remote Sensing Letters[ISSN 1545-598X], (Enero 2022)
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