Integration of satellite image and LiDAR data to determine damaged buildings after the earthquake based on support vector Machine Algorithm in Haiti

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ESLAMIZADEH FAEZE; RASTIVEIS HEIDAR

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Journal: GEOGRAPHICAL DATA Year:2018 | Volume:27 | Issue:107 Page(s): 1-2

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Information Journal Paper

Title

Integration of satellite image and LiDAR data to determine damaged buildings after the earthquake based on support vector Machine Algorithm in Haiti

Author(s)

ESLAMIZADEH FAEZE | RASTIVEIS HEIDAR | Issue Writer Certificate

Keywords

EarthquakeQ1

Satellite imageQ1

LiDAR dataQ1

Support Vector MachineQ1

Destruction mapQ1

Abstract

Introduction: Given the population growth and increasing urbanization, the occurrence of natural disasters like Earthquake can cause heavy losses and damages and interrupt the development of cities and countries. Among these disasters, the Earthquakeisof great importance due to its unpredictability and high frequency in relation to other events, as well as its location on the Earthquake belt. According to the last year's estimate, Iran has been one of the 6 countries with high mortality rates in Earthquakes. Therefore, finding a way to minimize the losses can be critical. Crisis managers need quick information from the affected area after the Earthquake to minimize the fatalities and financiallosses. The Destruction map is one of the information that helps crisis managers. These maps show the destructed buildings or roads with their degree of destruction. With these maps, the destructed buildings and roads can be found quickly...

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APA: Copy

ESLAMIZADEH, FAEZE, & RASTIVEIS, HEIDAR. (2018). Integration of satellite image and LiDAR data to determine damaged buildings after the earthquake based on support vector Machine Algorithm in Haiti. GEOGRAPHICAL DATA, 27(107 ), 1-2. SID. https://sid.ir/paper/366875/en

Vancouver: Copy

ESLAMIZADEH FAEZE, RASTIVEIS HEIDAR. Integration of satellite image and LiDAR data to determine damaged buildings after the earthquake based on support vector Machine Algorithm in Haiti. GEOGRAPHICAL DATA[Internet]. 2018;27(107 ):1-2. Available from: https://sid.ir/paper/366875/en

IEEE: Copy

FAEZE ESLAMIZADEH, and HEIDAR RASTIVEIS, “Integration of satellite image and LiDAR data to determine damaged buildings after the earthquake based on support vector Machine Algorithm in Haiti,” GEOGRAPHICAL DATA, vol. 27, no. 107 , pp. 1–2, 2018, [Online]. Available: https://sid.ir/paper/366875/en

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