|本期目录/Table of Contents|

[1]杜浩国,张方浩,邓树荣,等.震后极灾区无人机最优航拍区域选择*[J].地震研究,2018,41(02):209-215.
　DU Haoguo,ZHANG Fanghao,DENG Shurong,et al.Selection of UAV Optimal Aerial Areas in the Extremely-affectedRegion after an Earthquake Event[J].Journal of Seismological Research,2018,41(02):209-215.
点击复制

震后极灾区无人机最优航拍区域选择*(PDF/HTML)

《地震研究》[ISSN:1000-0666/CN:53-1062/P]

卷:
41
期数:
2018年02期
页码:
209-215
栏目:
出版日期:
2018-04-20

文章信息/Info

Title:
Selection of UAV Optimal Aerial Areas in the Extremely-affectedRegion after an Earthquake Event
作者:
杜浩国; 张方浩; 邓树荣; 和仕芳; 余庆坤; 吕佳丽
(云南省地震局,云南 昆明 650224)
Author(s):
DU Haoguo; ZHANG Fanghao; DENG Shurong; YU Qingkun; HE Shifang; LYU Jiali
(Yunnan Earthquake Agency,Kunming 650224,Yunnan,China)
关键词:
无人机;  最优航拍区域选择;  灾情获取;  蚁群优化算法
Keywords:
UAV aerial photograph;  optimal area selection of aerial photograph;  rapid disaster acquisition;  the Ant Colony Optimization Algorithm
分类号:
P315.9; TP751
DOI:
-
摘要:
基于蚁群优化算法,提取震后极灾区的震中距、房屋户数、人口数量、地形条件、无人机飞行时间等影响因子,提出震后极灾区无人机最优航拍区域选择方法,并将该方法应用于2016年云龙5.0级地震,实践表明该方法对极灾区开展无人机航拍,为地震后第一时间获取可靠的灾情信息提供有力的技术保障。
Abstract:
Through analyzing the evaluation factors,such as the epicentral distances,the building density,the population,the terrain conditions,the flying speed of UAV and so on,we provide a strong technical support for obtaining reliable disaster information at the first time after an earthquake,by establishing a model of optimal area selection of aerial photograph which based on the Ant Colony Optimization Algorithm,and proposing a most efficient selection method on optimal area selection of aerial photograph after an earthquake disaster.

参考文献/References:

-

备注/Memo

备注/Memo:
收稿日期:2017-11-17
基金项目:中国地震局震灾应急救援司专项课题“云南地震公共服务平台研发”与云南省青年地震科学基金项目联合资助.

更新日期/Last Update: 2018-04-23