Automatic evaluation and optimization of map registration based on feature overlap area ratio
Due to the differences in methods for collecting and processing data and map expression forms, two maps from different sources may have deviations in some objective evaluation metrics and fail to reflect the registration accuracy correctly, even though there are no geographic deviations. To address...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2024-01-01
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| Series: | Geocarto International |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/10106049.2024.2359481 |
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| Summary: | Due to the differences in methods for collecting and processing data and map expression forms, two maps from different sources may have deviations in some objective evaluation metrics and fail to reflect the registration accuracy correctly, even though there are no geographic deviations. To address this issue, an objective evaluation metric based on the Feature Overlap Area Ratio (FOA) is proposed to reflect the accuracy of map registration in complex scenes. The proposed method uses different feature extraction methods to binarize different types of maps, and the registration accuracy is determined by calculating the ratio between the feature overlap area and the smaller value of the feature area in the map. The experiments prove that: the FOA metric is highly robust, and not affected by map types, map levels, and registration algorithms. Compared with other objective metrics, there is a stronger linear correlation between the FOA metric and the registration errors. The FOA metric is more sensitive to the errors and reflects the degree of map registration more accurately. Based on the above research, better registration result can be obtained by panning the two registered tile maps until the FOA value is maximized. |
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| ISSN: | 1010-6049 1752-0762 |