Name
Abstract | ||
|---|---|---|
Hyperspectral imaging offers valuable spectral diversity for scene analysis and information extraction. However, exploiting this spectral diversity involves significant challenges in performing efficient video processing, especially in resource-constrained environments. These challenges arise due to the high memory and computational requirements for hyperspectral video processing applications. This paper presents system design methods using band subset selection to address this problem. These methods are applied to develop an adaptive video processing system targeted to an Android platform. The system dynamically adapts the selected bands to process based on constraints on real-time performance and video analysis accuracy. Experimental results provide quantitative insight into trade-offs between accuracy and real-time performance under stringent resource constraints. The results also validate the effectiveness of the proposed system in performing adaptive, resource-constrained hyperspectral video processing. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/WHISPERS.2019.8921138 | 2019 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS) |
Keywords | Field | DocType |
adaptive video processing system,Android platform,selected bands,real-time performance,video analysis accuracy,stringent resource constraints,resource-constrained hyperspectral video processing,resource-constrained platforms,hyperspectral imaging,valuable spectral diversity,scene analysis,information extraction,resource-constrained environments,computational requirements,hyperspectral video processing applications,system design methods,band subset selection | Video processing,Android (operating system),Yarn,High memory,Computer science,Systems design,Hyperspectral imaging,Real-time computing,Information extraction,Humanoid robot | Conference |
ISSN | ISBN | Citations |
2158-6268 | 978-1-7281-5295-0 | 0 |
PageRank | References | Authors |
0.34 | 4 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Honglei Li | 1 | 0 | 0.34 |
| Lei Pan | 2 | 0 | 0.34 |
| Eung-joo Lee | 3 | 40 | 13.60 |
| Zhu Li | 4 | 940 | 82.17 |
| Matthew J. Hoffman | 5 | 31 | 5.50 |
| Anthony Vodacek | 6 | 119 | 17.07 |
| Shuvra S. Bhattacharyya | 7 | 1416 | 162.67 |