| タイトル | GPU Lossless Hyperspectral Data Compression System |
| 本文（外部サイト） | http://hdl.handle.net/2060/20140002366 |
| 著者（英） | Klimesh, Matthew A.; Kiely, Aaron B.; Keymeulen, Didier; Aranki, Nazeeh I. |
| 著者所属（英） | California Inst. of Tech. |
| 発行日 | 2014-01-01 |
| 言語 | eng |
| 内容記述 | Hyperspectral imaging systems onboard aircraft or spacecraft can acquire large amounts of data, putting a strain on limited downlink and storage resources. Onboard data compression can mitigate this problem but may require a system capable of a high throughput. In order to achieve a high throughput with a software compressor, a graphics processing unit (GPU) implementation of a compressor was developed targeting the current state-of-the-art GPUs from NVIDIA(R). The implementation is based on the fast lossless (FL) compression algorithm reported in "Fast Lossless Compression of Multispectral-Image Data" (NPO- 42517), NASA Tech Briefs, Vol. 30, No. 8 (August 2006), page 26, which operates on hyperspectral data and achieves excellent compression performance while having low complexity. The FL compressor uses an adaptive filtering method and achieves state-of-the-art performance in both compression effectiveness and low complexity. The new Consultative Committee for Space Data Systems (CCSDS) Standard for Lossless Multispectral & Hyperspectral image compression (CCSDS 123) is based on the FL compressor. The software makes use of the highly-parallel processing capability of GPUs to achieve a throughput at least six times higher than that of a software implementation running on a single-core CPU. This implementation provides a practical real-time solution for compression of data from airborne hyperspectral instruments. |
| NASA分類 | Computer Programming and Software |
| レポートNO | NPO-48571 |
| 権利 | No Copyright |
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