Title | ||
---|---|---|
Hyperspectral Remote Sensing of the Pigment C-Phycocyanin in Turbid Inland Waters, Based on Optical Classification. |
Abstract | ||
---|---|---|
Pigment C-phycocyanin (C-PC) is a useful indicator for the presence of cyanobacteria in inland waters, which has been well known as a phytoplankton group with many negative effects on human, animal, and aquatic ecosystem health. In recent years, the remote detection of the C-PC concentrations for inland waters has received much attention. However, their accurate quantification by means of remote s... |
Year | DOI | Venue |
---|---|---|
2013 | 10.1109/TGRS.2012.2227976 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | Field | DocType |
Lakes,Optical sensors,Water,Adaptive optics,Absorption,Biomedical optical imaging,Remote sensing | Mean absolute percentage error,Data set,Regression analysis,Remote sensing,Support vector machine,Mean squared error,Hyperspectral imaging,Mathematics,Water quality,C-Phycocyanin | Journal |
Volume | Issue | ISSN |
51 | 7 | 0196-2892 |
Citations | PageRank | References |
3 | 0.60 | 5 |
Authors | ||
7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Deyong Sun | 1 | 46 | 10.06 |
Yunmei Li | 2 | 39 | 8.09 |
Qiao Wang | 3 | 97 | 21.94 |
Jay Gao | 4 | 51 | 10.26 |
Chengfeng Le | 5 | 23 | 6.30 |
Changchun Huang | 6 | 28 | 5.68 |
Shaoqi Gong | 7 | 4 | 1.38 |