Methodology for Developing Algorithms for Compressing Hyperspectral Aerospace Images used on Board Spacecraft
| Autor: | Alexander Zamyatin, Assiya Sarinova |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
lcsh:GE1-350
Adaptive algorithm Spacecraft business.industry Computer science 020209 energy RSS Bandwidth (signal processing) 0211 other engineering and technologies Hyperspectral imaging 02 engineering and technology computer.file_format Data_CODINGANDINFORMATIONTHEORY 0202 electrical engineering electronic engineering information engineering business Aerospace Algorithm computer Energy (signal processing) lcsh:Environmental sciences 021101 geological & geomatics engineering Data compression |
| Zdroj: | E3S Web of Conferences, Vol 223, p 02007 (2020) |
| ISSN: | 2267-1242 |
| Popis: | The paper describes a method for constructing and developing algorithms for compressing hyperspectral aerospace images (AI) of hardware implementation for subsequent use in remote sensing Systems (RSS). The developed compression methods based on differential and discrete transformations are proposed as compression algorithms necessary for reducing the amount of transmitted information. The paper considers a method for developing compression algorithms, which is used to develop an adaptive algorithm for compressing hyperspectral AI using programmable devices. Studies have shown that the proposed algorithms have sufficient efficiency for use and can be applied on Board spacecraft when transmitting hyperspectral remote sensing data in conditions of limited buffer memory capacity and communication channel bandwidth. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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