Building Earthquake Damage Information Extraction from a Single Post-Earthquake PolSAR Image
نویسندگان
چکیده
منابع مشابه
Building Earthquake Damage Information Extraction from a Single Post-Earthquake PolSAR Image
After an earthquake, rapidly and accurately obtaining building damage information can help to effectively guide the implementation of the emergency rescue and can reduce disaster losses and casualties. Using a single post-earthquake fully-polarimetric synthetic aperture radar (PolSAR) image to interpret building damage information not only involves a guaranteed data source but is also easy and ...
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The collapsed buildings due to earthquake were detected from post-event aerial images using watershed segmentation algorithm. The objective was to detect the collapsed buildings based on the analysis of the cast shadows. The building boundaries were available and stored in a GIS as vector polygons. The building polygons were utilized to perform assessments in a building specific manner. The app...
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The 2015 Gorkha Nepal earthquake caused tremendous damage and loss. To gain valuable lessons from this tragic event, an earthquake damage investigation team was dispatched to Nepal from 1 May 2015 to 7 May 2015. A unique aspect of the earthquake damage investigation is that first-hand earthquake damage data were obtained 6–11 days after the mainshock. To gain deeper understanding of the observe...
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The building damage assessment is a very important task after a strong earthquake. For taking decisions about the building habitability and reparability it is necessary evaluate the building damage, but the expert professionals are insufficient, and therefore voluntary non-experts professionals must be including in the task. This personnel type displays the tendency to aggravate or to underesti...
متن کاملAssessment of the Contribution of Crowd Sourced Data to Post-Earthquake Building Damage Detection
This article compares the results of building damage detection based on Crowd Sourced (CS) data, image processing of remotely sensed (RS) data and predictive modelling with institutional spatial data (Spatial Data Infrastructure SDI). In particular, it focuses on the contribution of Crowd Sourcing to detecting postearthquake building damages, while also considering the integration of Crowd Sour...
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ژورنال
عنوان ژورنال: Remote Sensing
سال: 2016
ISSN: 2072-4292
DOI: 10.3390/rs8030171