Title | ||
---|---|---|
A dynamic classification scheme for mapping spectrally similar classes: Application to wetland classification. |
Abstract | ||
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•A classification scheme was proposed for delineating spectrally similar classes.•The dynamic classification scheme was applied to wetlands.•The proposed method was compared to the classic method in five areas in Canada.•The proposed method improved the average accuracy of wetlands by up to 25%. |
Year | DOI | Venue |
---|---|---|
2019 | 10.1016/j.jag.2019.101914 | International Journal of Applied Earth Observation and Geoinformation |
Keywords | Field | DocType |
Classification,Feature selection,Wetlands,Remote sensing | Training set,Field data,Pattern recognition,Feature selection,Classification scheme,Remote sensing,Wetland classification,Artificial intelligence,Spectral analysis,Merge (version control),Land cover,Geography | Journal |
Volume | ISSN | Citations |
83 | 0303-2434 | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Sahel Mahdavi | 1 | 0 | 0.68 |
Bahram Salehi | 2 | 51 | 10.59 |
Meisam Amani | 3 | 8 | 8.19 |
Jean Granger | 4 | 0 | 0.34 |
B. Brisco | 5 | 70 | 19.55 |
Weimin Huang | 6 | 1074 | 96.95 |