Research Article

Unsupervised Change Detection in Landsat Images with Atmospheric Artifacts: A Fuzzy Multiobjective Approach

Table 1

Quantitative results for semisynthetic data sets with haze and thin cloud.

Method Figures 5(a) and 3(b) Figures 5(b) and 3(b) Figures 5(c) and 3(b) Figures 5(d) and 3(b)

DT-CWT-based 32.27 10.88 15.02 31.05 9.65 15.0235.0313.2315.7540.2312.6522.91
PCA- means 28.66 7.93 12.45 25.37 6.55 10.4029.3610.4913.0234.2312.4320.19
ERGAS-based 4.43 21.31 8.53 5.67 15.14 6.64 3.0510.68 5.8120.227.8413.43
PSO-GA-based 16.09 4.19 8.18 12.57 4.24 5.90 7.87 2.95 4.9614.5516.4115.25
Proposed Method3.982.733.382.712.092.441.912.182.022.834.033.56