Name
Abstract | ||
|---|---|---|
Diagnostic absorption feature has the potential to be the key factor in the mineral information extraction from vegetation-covered area. Reference Spectral Background Removal (RSBR) could simulate the background curve based on the reference spectral background, and eliminate the influence through the background removal process. In this paper, RSBR was introduced into to mineral absorption feature extraction from high vegetation density area. Experiments on simulated data validated its great potential in mineral exploration in vegetation-covered area. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/IGARSS.2016.7730416 | 2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) |
Keywords | Field | DocType |
Hyperspectral remote sensing, reference spectral background removal, mineral exploration, vegetation cover, spectral analysis | Vegetation,Computer science,Remote sensing,Feature extraction,Hyperspectral imaging,Information extraction,Mineral exploration,Reflectivity,Mineral absorption | Conference |
ISSN | Citations | PageRank |
2153-6996 | 0 | 0.34 |
References | Authors | |
1 | 8 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hengqian Zhao | 1 | 1 | 0.69 |
| Lifu Zhang | 2 | 87 | 28.77 |
| Xuesheng Zhao | 3 | 0 | 1.01 |
| Yang Hang | 4 | 67 | 17.40 |
| Keming Yang | 5 | 0 | 1.35 |
| Xia Zhang | 6 | 3 | 2.88 |
| shudong wang | 7 | 9 | 3.62 |
| Hao Sun | 8 | 0 | 0.34 |