Detection of Damaged Buildings Using Temporal SAR Data with Different Observation Modes
نویسندگان
چکیده
Synthetic Aperture Radar (SAR) remote sensing has been widely used as one of the most effective tools for responding to earthquake disasters. In general, damaged-building detection with SAR data conducted based on change using temporal acquired in same observation mode. However, it is not always possible use obtained appropriate mode unexpected events such natural This study aims detect earthquake-induced damaged buildings having different modes. We presented a contextual analysis method map novel textural features. was bi-temporal Komapsat-5 polarization Experimental results area severely by 2016 Kumamoto showed that proposed can improve detectability building-damaged areas while maintaining low false alarm rates agricultural areas. According grid-based accuracy analysis, successfully rate about 72.5% and alarms 6.8% even challenging sets.
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ژورنال
عنوان ژورنال: Remote Sensing
سال: 2023
ISSN: ['2315-4632', '2315-4675']
DOI: https://doi.org/10.3390/rs15020308