Lossless karhunen-loeve transform-embedded approach (Raspberry Pi)
| dc.contributor.author | Muhammad Mohd Salleh | |
| dc.date.accessioned | 2021-04-22T01:34:02Z | |
| dc.date.available | 2021-04-22T01:34:02Z | |
| dc.date.issued | 2017-06 | |
| dc.description.abstract | The research presented the Lossless Karhunen-Loève Transform (KLT)-Embedded System in parallelize using Open Multi Processing (OpenMP) environment using the Raspberry Pi 3 Model B. The Integer KLT is chosen because its show the superior performance in decorrelating the spectral component in hyperspectral image compression. This is due to the less implementation attempt has yet been made on an embedded platform due to the complexity issues. The OpenMP environment is used to parallelize the image compression process into the multicore architecture. The algorithm will be deployed into the Raspberry Pi, which have 4-cores processing capability. In order to initialize the Raspberry Pi, Linux (Raspbian) is used as its operating system. Next, Geany software is used to implement the Integer KLT algorithm in C language. The performance of the algorithm is measured through the execution time using several levels of clustering of on AVIRIS hyperspectral image. This thesis is able to execute the AVIRIS hyperspectral image using Raspberry Pi within range 920.724s to 28.482s for clustering range 1-56 cluster. The outcome from the implementation is compared with difference platform approaches; desktop and Digital Signal Processing (DSP) system. | en_US |
| dc.identifier.uri | http://hdl.handle.net/123456789/13026 | |
| dc.language.iso | en | en_US |
| dc.title | Lossless karhunen-loeve transform-embedded approach (Raspberry Pi) | en_US |
| dc.type | Other | en_US |
Files
License bundle
1 - 1 of 1
Loading...
- Name:
- license.txt
- Size:
- 1.71 KB
- Format:
- Item-specific license agreed upon to submission
- Description: