Special Section on Sparsity-Driven High Dimensional Remote Sensing Image Processing and Analysis

Identifying relevant hyperspectral bands using Boruta: a temporal analysis of water hyacinth biocontrol

[+] Author Affiliations
Na’eem Hoosen Agjee, Riyad Ismail, Onisimo Mutanga

University of KwaZulu-Natal, School of Environmental Sciences, King George V Avenue, Durban 4041, South Africa

J. Appl. Remote Sens. 10(4), 042002 (Jun 01, 2016). doi:10.1117/1.JRS.10.042002
History: Received February 14, 2016; Accepted April 18, 2016
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Abstract.  Water hyacinth plants (Eichhornia crassipes) are threatening freshwater ecosystems throughout Africa. The Neochetina spp. weevils are seen as an effective solution that can combat the proliferation of the invasive alien plant. We aimed to determine if multitemporal hyperspectral data could be utilized to detect the efficacy of the biocontrol agent. The random forest (RF) algorithm was used to classify variable infestation levels for 6 weeks using: (1) all the hyperspectral bands, (2) bands selected by the recursive feature elimination (RFE) algorithm, and (3) bands selected by the Boruta algorithm. Results showed that the RF model using all the bands successfully produced low-classification errors (12.50% to 32.29%) for all 6 weeks. However, the RF model using Boruta selected bands produced lower classification errors (8.33% to 15.62%) than the RF model using all the bands or bands selected by the RFE algorithm (11.25% to 21.25%) for all 6 weeks, highlighting the utility of Boruta as an all relevant band selection algorithm. All relevant bands selected by Boruta included: 352, 754, 770, 771, 775, 781, 782, 783, 786, and 789 nm. It was concluded that RF coupled with Boruta band-selection algorithm can be utilized to undertake multitemporal monitoring of variable infestation levels on water hyacinth plants.

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© 2016 Society of Photo-Optical Instrumentation Engineers

Citation

Na’eem Hoosen Agjee ; Riyad Ismail and Onisimo Mutanga
"Identifying relevant hyperspectral bands using Boruta: a temporal analysis of water hyacinth biocontrol", J. Appl. Remote Sens. 10(4), 042002 (Jun 01, 2016). ; http://dx.doi.org/10.1117/1.JRS.10.042002


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