A Simple Lossless Algorithm for on-board Satellite Hyperspectral Data Compression

As resolution of on-board imaging spectrometer keeps improving, data acquisition rate increases and resource limited satellite environment necessitates for computationally simple data compression methods to meet timing, bandwidth and resource requirements with error resilience. This letter proposes...

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Vydáno v:	IEEE geoscience and remote sensing letters Ročník 20; s. 1
Hlavní autoři:	Joshi, Vijay, Sheeba Rani, J
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Piscataway IEEE 01.01.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Adaptive sampling Algorithms Complexity Compression Computational complexity Computer applications Data acquisition Data compression Data processing Data systems Decision making Hyperspectral data compression Hyperspectral imaging Image coding Imaging Imaging spectrometers Lossless compression Methods Minimization Neighbor driven decision making Non-binary tree traversal Onboard Performance evaluation Predictions Satellite data compression Satellites Table lookup
ISSN:	1545-598X, 1558-0571
On-line přístup:	Získat plný text
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