Name
Abstract | ||
|---|---|---|
With the development of computer science, more and more hardware implementations can be reproduced by software programming, bringing compact, cheap, and fast components to imaging instrumentation. In recent years, computational methods have been introduced into spectral detection, and computational spectrum acquisition implementations have emerged. This paper highlights the advantages of computational spectrum acquisition implementations by comparing them with traditional non-computational methods. Then, focusing on the compact feature, we review the most representative implementations, and finally make discussion and offer an outlook. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1631/FITEE.1900266 | FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING |
Keywords | DocType | Volume |
Spectral imaging,Computational imaging,Spectrometer,O433,1 | Journal | 21.0 |
Issue | ISSN | Citations |
8.0 | 2095-9184 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hongya Song | 1 | 0 | 0.34 |
| Wenyi Zhang | 2 | 0 | 0.34 |
| Haifeng Li | 3 | 1 | 1.37 |
| X.L. Liu | 4 | 11 | 11.83 |
| Xiang Hao | 5 | 0 | 0.68 |