Earthquakes are among the foremost grievous geological disaster that may cause loss of life and property harm. One of the censorious issues after earthquakes or natural hazard is damage detection. Damage recognition of destructed area by human being eyes not to be so effective since it takes longer time to grasp damage by inspection patrolling. But satellite images as well as image processing technique play crucial role in detecting damage because of their easy and rapid processing capacities. Now those more and diverse types of remote sensing and satellite data become accessible and various methods are applied for better damage detection. This work includes a comprehensive review of this method one type of damages- linear type damage in which changes to be evaluated in- between pre and post event data.
%0 Journal Article
%1 Parijat_2015
%A Singh, Rani Parijat
%A Verma, Prof. Toran
%D 2015
%I Auricle Technologies, Pvt., Ltd.
%J International Journal on Recent and Innovation Trends in Computing and Communication
%K Image component connected damage detection earthquake edge extraction processing
%N 4
%P 2287--2291
%R 10.17762/ijritcc2321-8169.1504112
%T Damage Detection caused by Natural Disaster using Image Processing Technique
%U http://dx.doi.org/10.17762/ijritcc2321-8169.1504112
%V 3
%X Earthquakes are among the foremost grievous geological disaster that may cause loss of life and property harm. One of the censorious issues after earthquakes or natural hazard is damage detection. Damage recognition of destructed area by human being eyes not to be so effective since it takes longer time to grasp damage by inspection patrolling. But satellite images as well as image processing technique play crucial role in detecting damage because of their easy and rapid processing capacities. Now those more and diverse types of remote sensing and satellite data become accessible and various methods are applied for better damage detection. This work includes a comprehensive review of this method one type of damages- linear type damage in which changes to be evaluated in- between pre and post event data.
@article{Parijat_2015,
abstract = {Earthquakes are among the foremost grievous geological disaster that may cause loss of life and property harm. One of the censorious issues after earthquakes or natural hazard is damage detection. Damage recognition of destructed area by human being eyes not to be so effective since it takes longer time to grasp damage by inspection patrolling. But satellite images as well as image processing technique play crucial role in detecting damage because of their easy and rapid processing capacities. Now those more and diverse types of remote sensing and satellite data become accessible and various methods are applied for better damage detection. This work includes a comprehensive review of this method one type of damages- linear type damage in which changes to be evaluated in- between pre and post event data.},
added-at = {2015-08-27T08:20:26.000+0200},
author = {Singh, Rani Parijat and Verma, Prof. Toran},
biburl = {https://www.bibsonomy.org/bibtex/2a65d3568c02aa673d9ff1c7e70e5c701/ijritcc},
doi = {10.17762/ijritcc2321-8169.1504112},
interhash = {a3f88406f5ec4db513a3ba725949229f},
intrahash = {a65d3568c02aa673d9ff1c7e70e5c701},
journal = {International Journal on Recent and Innovation Trends in Computing and Communication},
keywords = {Image component connected damage detection earthquake edge extraction processing},
month = {april},
number = 4,
pages = {2287--2291},
publisher = {Auricle Technologies, Pvt., Ltd.},
timestamp = {2015-08-27T08:20:26.000+0200},
title = {Damage Detection caused by Natural Disaster using Image Processing Technique},
url = {http://dx.doi.org/10.17762/ijritcc2321-8169.1504112},
volume = 3,
year = 2015
}