Abstract | ||
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Band selection has become an effective method to reduce hyperspectral dimensionality. In this letter, an information-assisted density peak index (IaDPI) is proposed to prioritize the bands. Based on a clustering method by finding density peaks, IaDPI introduces the intraband information entropy into the local density and intercluster distance to ensure cluster centers with a high quality. Also, th... |
Year | DOI | Venue |
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2017 | 10.1109/LGRS.2017.2741494 | IEEE Geoscience and Remote Sensing Letters |
Keywords | Field | DocType |
Entropy,Hyperspectral imaging,Indexes,Clustering methods,Training,Information entropy | Band selection,Pattern recognition,Effective method,Communication channel,Hyperspectral imaging,Compact space,Curse of dimensionality,Artificial intelligence,Cluster analysis,Entropy (information theory),Mathematics | Journal |
Volume | Issue | ISSN |
14 | 10 | 1545-598X |
Citations | PageRank | References |
0 | 0.34 | 16 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Xiaoyan Luo | 1 | 38 | 10.60 |
Rui Xue | 2 | 22 | 6.49 |
Jihao Yin | 3 | 90 | 12.18 |