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Liu, Huaipeng
- Analysis of Worldview-2 Band Importance in Tree Species Classification based on Recursive Feature Elimination
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Authors
Affiliations
1 School of Land and Tourism, Luoyang Normal University, Luoyang, Henan Province, 471934, CN
2 College of forestry, Inner Mongolia Agricultural University, Huhhot, Inner Mongolia, 010019, CN
1 School of Land and Tourism, Luoyang Normal University, Luoyang, Henan Province, 471934, CN
2 College of forestry, Inner Mongolia Agricultural University, Huhhot, Inner Mongolia, 010019, CN
Source
Current Science, Vol 115, No 7 (2018), Pagination: 1366-1374Abstract
In tree species classifications, different spectral bands feature different importance, and the manner of determining the importance of one band is a problem that needs to be solved. In this study, eight bands of the WorldView-2 fusion data were used as information sources, and a recursive feature elimination based on maximum likelihood (MLC-RFE) was used to sort the importance of these bands. According to the results, the importance of the eight bands was sorted as follows (from important to unimportant): nearinfrared 2 > red edge > yellow > red > near-infrared 1 > coastal blue > green > blue. The poorest band combination yielded the lowest overall accuracy (OA) and Kappa coefficient (40.9153%; 0.3080), whereas the optimal band combination presented the highest OA and Kappa coefficient (74.5479%; 0.7029), indicating the large difference in accuracies between the optimal and poorest band combinations. Therefore, selecting important bands bears significance in tree species classifications. The MLC-RFE method significantly solved the band selection problem. Thus, this method should be extended to more complex feature selections.Keywords
Bands Importance, Maximum Likelihood, Recursive Feature Elimination, Tree Classification, Worldview- 2.Full Text
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