Research Article

Improvement in the Accuracy of the Postclassification of Land Use and Land Cover Using Landsat 8 Data Based on the Majority of Segment-Based Filtering Approach

Table 4

Result of the accuracy assessment for the LULC classification based on the RF classifier without the MaSegFil approach.

LULC classC_0C_1C_2C_3C_4C_5C_6C_7C_8C_9C_10TotalUser accuracyKappa

C_0102182000000001220.8360.000
C_14019821007100002670.7420.000
C_2303393003241724002240.4150.000
C_3401400140000230.1740.000
C_41000300001050.6000.000
C_5164590040102001130.3540.000
C_61301100569129006050.9400.000
C_7103000233606113950.9110.000
C_821030003810172002440.7050.000
C_90000002100663810.8150.000
C_10000000000246480.9580.000
Total2282941335350672409213705021270.0000.000
Procedure accuracy0.4470.6730.6990.8001.0000.8000.8470.8800.8080.9430.9200.0000.7770.000
Kappa0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.731

C_0: primary dryland forest; C_1: secondary dryland forest; C_2: fields; C_3: open field; C_4: wetland forest; C_5: plantation; C_6: settlement; C_7: rice fields; C_8: shrubs; C_9: fishpond; C_10: water body.