Comparison of combination of dimensionality reduction and classification techniques for identifying tree species using integrated QuickBird imagery and Lidar data

Lien T. H. Pham; Lars Brabyn; Thanh Duc Dang; Henry Gouk

doi:10.1117/1.JRS.13.018502

20 March 2019 Comparison of combination of dimensionality reduction and classification techniques for identifying tree species using integrated QuickBird imagery and Lidar data

Lien T. H. Pham, Lars Brabyn, Thanh Duc Dang, Henry Gouk

Author Affiliations +

Journal of Applied Remote Sensing, Vol. 13, Issue 1, 018502 (March 2019). https://doi.org/10.1117/1.JRS.13.018502

Abstract

Combining data of different types and from different sources for the classification of tree species has gained popularity recently, but training models on such datasets often requires more computational demands and does not always result in higher accuracy due to feature redundancy and irrelevance. Thus preprocessing data using dimensionality reduction (DR) methods can be employed to improve the classification accuracy and reduce computations. The objective of this research is to investigate and compare tree species classification performance for different classification algorithms [naive Bayes (NB), logistic regression (LR), random forest (RF), and support vector machine (SVM)], combined with various DR methods (correlation-based feature selection filter, information gain, wrapper methods, and principal component analysis). Two primary datasets are used—QuickBird and LiDAR, as well as derived topography data. When DR is used prior to classification, the NB classifier had a significant improvement in accuracy. SVM and RF had the best classification accuracy without DR. The overall accuracies (OA) of SVM and RF are 88.2% and 87.2% (kappa 0.84 and 0.83), respectively, followed closely by LR (OA: 84.8%, kappa: 0.79) and more distantly by NB (OA: 79%, kappa: 0.72). It is recommended to use SVM and RF without DR or NB with DR for tree species classification.

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Lien T. H. Pham, Lars Brabyn, Thanh Duc Dang, and Henry Gouk "Comparison of combination of dimensionality reduction and classification techniques for identifying tree species using integrated QuickBird imagery and Lidar data," Journal of Applied Remote Sensing 13(1), 018502 (20 March 2019). https://doi.org/10.1117/1.JRS.13.018502

Received: 22 July 2018; Accepted: 5 March 2019; Published: 20 March 2019

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