Fault Displacement Detection Caused by Large Earthquake Using Extended Deepmatching
| Autor: | Akira Iwasaki, Y. Kumon |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
geography
geography.geographical_feature_category 010504 meteorology & atmospheric sciences Matching (graph theory) Remote sensing application ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 0211 other engineering and technologies 02 engineering and technology Fault (geology) Surface displacement Geodesy 01 natural sciences Displacement (vector) Image (mathematics) Reduction (complexity) Satellite imagery Geology 021101 geological & geomatics engineering 0105 earth and related environmental sciences |
| Zdroj: | IGARSS |
| DOI: | 10.1109/igarss39084.2020.9323200 |
| Popis: | This work presents an implementation of Deepmatching to detect the displacement of faults caused by large earthquakes. Deepmatching uses the global information of the input images as well as the local information near the patch to find pairs of image patches. This work solves two problems of Deepmatching in terms of remote sensing applications. First, dense matching results of Deepmatching are obtained to directly detect faults caused by earthquakes. Second, the reduction in computational cost of Deepmatching is achieved so that satellite imagery, which is generally larger, is processed. As a result, our extended Deepmatching successfully calculates the surface displacement map. Finally, we applied the proposed method to the Balochistan earthquake and successfully detected the faults caused by it. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|