Figures index

From

UAV-based Approach to Extract Topographic and As-built Information by Utilising the OBIA Technique

Hairie Ilkham Sibaruddin, Helmi Zulhaidi Mohd Shafri, Biswajeet Pradhan, Nuzul Azam Haron

Journal of Geosciences and Geomatics. 2018, 6(3), 103-123 doi:10.12691/jgg-6-3-2
  • Figure 1. Study area in INSTUN, Perak, Malaysia
  • Figure 2. Research methodology flowchart
  • Figure 3a. Orthomosaic
  • Figure 3b. DTM
  • Figure 3c. DSM
  • Figure 3d. Contour Line (1m)
  • Figure 4a. (scale: 5)
  • Figure 4b. (scale: 25)
  • Figure 4c. (scale: 50)
  • Figure 4d. (scale: 75)
  • Figure 4e. (scale: 125)
  • Figure 4f. (scale: 125)
  • Figure 4g. (scale: 150)
  • Figure 4h. (scale: 175)
  • Figure 4i. (scale: 200)
  • Figure 4j. (scale: 225)
  • Figure 5a. Main effect plot (data means)
  • Figure 5b. Main effect plot (SN ratio)
  • Figure 6a. Building & bare soil
  • Figure 6b. Road
  • Figure 6c. Water bodies & grassland
  • Figure 6d. Urban tree
  • Figure 6e. Volleyball court (Impervious Surface)
  • Figure 6f. Shadow
  • Figure 6g. Bare soil & grassland
  • Figure 6h. Water bodies & Jetty (Impervious Surface)
  • Figure 7. Result of overall accuracies for the best of the five classifiers with increasing sample size
  • Figure 8. Kappa coefficient (KIA) of the five classifiers with increasing sample size
  • Figure 9a. Orthomosaic
  • Figure 9b. SVM classification
  • Figure 9c. RF classification
  • Figure 9d. NB classification
  • Figure 9e. DT classification
  • Figure 9f. KNN classification
  • Figure 10. Final topographic map based on the best accuracy of the SVM classifier