Name
Title | ||
|---|---|---|
Proposal of Detection of Subsurface Objects with Model-Based Homogeneity to Extend Compressed Sensing |
Abstract | ||
|---|---|---|
This paper proposes model-based homogeneity (MBH) to extend compressed sensing (CS) for detection of subsurface objects. The scattered waves at landmines have features spe-cific to their material and structure. The features spread over a landmine, showing its shape. We calculate the MBH value from spatial distribution of scattering feature vectors by using a model having the landmine shape. We can utilize CS with MBH because the result of MBH calculation is sparse in general. This method eliminates clutter and reduces mea-surement points. Experiments demonstrate that this method makes the time for detection one-twentieth of that in a conventional method. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/IGARSS46834.2022.9883786 | IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium |
Keywords | DocType | ISSN |
Ground penetrating radar (GPR),com-pressed sensing | Conference | 2153-6996 |
ISBN | Citations | PageRank |
978-1-6654-2793-7 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ryuta Imai | 1 | 0 | 0.34 |
| Yicheng Song | 2 | 0 | 0.34 |
| Ryo Natsuaki | 3 | 0 | 0.68 |
| Akira Hirose | 4 | 21 | 8.41 |