Research Article
A Two-Stage Optimization Strategy for Fuzzy Object-Based Analysis Using Airborne LiDAR and High-Resolution Orthophotos for Urban Road Extraction
Table 4
and
orthogonal arrays and the POF used to optimize the shape and compactness parameters.
| Run | Level 1 | Level 2 | Level 3 | MI | Variance | POF | MI | Variance | POF | MI | Variance | POF |
| (1) | 0.396 | 0.930 | 1.327 | 0.599 | 0.964 | 1.563 | 1.464 | 1.011 | 2.474 | (2) | 0.233 | 1.000 | 1.233 | 0.795 | 0.971 | 1.765 | 0.373 | 0.885 | 1.258 | (3) | 0.438 | 0.865 | 1.303 | 0.647 | 0.963 | 1.610 | 0.320 | 0.000 | 0.320 | (4) | 0.141 | 0.411 | 0.552 | 0.523 | 0.000 | 0.523 | 1.000 | 0.947 | 1.947 | (5) | 0.371 | 0.962 | 1.333 | 0.859 | 0.956 | 1.815 | 0.000 | 0.904 | 0.904 | (6) | 0.000 | 0.967 | 0.967 | 0.704 | 0.986 | 1.690 | 0.523 | 0.616 | 1.138 | (7) | 1.000 | 0.697 | 1.697 | 0.692 | 0.901 | 1.593 | 0.326 | 0.945 | 1.271 | (8) | 0.174 | 0.000 | 0.174 | 0.698 | 0.049 | 0.746 | 0.969 | 1.000 | 1.969 | (9) | 0.013 | 0.954 | 0.967 | 0.668 | 1.000 | 1.668 | 0.404 | 0.332 | 0.736 | (10) | 0.565 | 0.801 | 1.366 | 0.113 | 0.958 | 1.072 | | | | (11) | 0.578 | 0.758 | 1.336 | 0.783 | 0.998 | 1.782 | | | | (12) | 0.867 | 0.274 | 1.141 | 0.738 | 0.415 | 1.153 | | | | (13) | 0.329 | 0.952 | 1.280 | 0.554 | 0.978 | 1.532 | | | | (14) | 0.035 | 0.891 | 0.927 | 0.000 | 0.979 | 0.979 | | | | (15) | 0.307 | 0.798 | 1.105 | 0.434 | 0.948 | 1.381 | | | | (16) | 0.060 | 0.207 | 0.268 | 1.000 | 0.480 | 1.480 | | | |
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