Abstract | ||
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A multi parameter optimization model is proposed for the mineral mapping of hyperspectral imagery. This model can provide guidance for selecting system parameters when a new sensor is designed or offer performance estimation in mineral mapping with a given imaging system. A multivariate regression analysis is performed to investigate the quantitative relationship between mineral identification cap... |
Year | DOI | Venue |
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2018 | 10.1109/JSTARS.2018.2814617 | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Keywords | Field | DocType |
Imaging,Atmospheric modeling,Hyperspectral imaging,Minerals,Analytical models,Optimization | Imaging spectrometer,Optical transfer function,Multivariate statistics,Ground sample distance,Remote sensing,Hyperspectral imaging,Spectral resolution,Atmospheric model,User requirements document,Mathematics | Journal |
Volume | Issue | ISSN |
11 | 4 | 1939-1404 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Na Li | 1 | 37 | 23.63 |
Xinchen Huang | 2 | 0 | 0.34 |
Huijie Zhao | 3 | 56 | 17.39 |
Xianfei Qiu | 4 | 0 | 1.69 |
Ruonan Geng | 5 | 0 | 0.34 |
Xiuping Jia | 6 | 1424 | 126.54 |
Daming Wang | 7 | 4 | 8.88 |