Study on Quality Assessment of Multi-Source and Multi-Scale Images in Disaster Prevention and Relief

文献类型： 外文期刊

第一作者： Xue Yongan

作者： Xue Yongan;Zhang Mingmei;Rui Ma;Zhao Jinling;Guo, Qinghai

作者机构：

关键词： Geological Disasters;Remote Sensing;Image quality;Color Quality;Quality Assessment

期刊名称：DISASTER ADVANCES （ 影响因子：2.272； 五年影响因子：1.886 ）

ISSN： 0974-262X

年卷期： 2012 年 5 卷 4 期

页码：

收录情况： SCI

摘要： Considering the frequent occurrence of various geological disasters in recent years, such as earthquake, debris flow, landslide, etc., remotely sensed images have been extensively utilized which provided optimal data sources for large-scale disaster monitoring and fast response. Consequently, the quick assessment of image quality is the prerequisite to select best remotely sensed images, but it has not been fully explored. In our study, geometric and color qualities were assessed using multi-source and multi-scale images. A layout scheme of check points was put forward to evaluate the geometric quality of images using a handheld global positioning system (GPS, Trimble Geo RTK). By selecting five national-level control points (Beijing 54 and Xi'an 80 coordinates), the positioning accuracy using the proposed scheme reached 4 cm better than 10 cm nominal accuracy and the number of required field survey as well as the layout scheme were also given, which can satisfy the accuracy requirement of plane position in filed survey. At the same time, an indicator (sigma 2) of brightness equalization was used to evaluate the color quality. The programme of color quality assessment was made using a combination of AcrGIS and C#. By selecting Geoeye and QuickBird images of Haiti earthquake, Spot 5, IKONOS and Unmanned Aerial Vehicle (UAV) images of geological disasters in Datong City and Xiangning County, Shanxi Province, their sigma 2 were evaluated. The final results demonstrated that when sigma 2 was less than and equal to 15, the brightness equalization was good and conversely it was bad when sigma 2 was greater than 100. This study is of significant importance to quickly select the optimal remotely sensed images from various kinds of images for assessing geological disasters when they occur.

分类号：

  • 相关文献

[1]Microbiological, Chemical, and Sensory Assessment of Pacific Oysters (Crassostrea gigas) Stored at Different Temperatures. Cao, Rong,Liu, Qi.

[2]Ultraviolet spectroscopy combined with ultra-fast liquid chromatography and multivariate statistical analysis for quality assessment of wild Wolfiporia extensa from different geographical origins. Li, Yan,Zhang, Ji,Jin, Hang,Wang, Yuanzhong,Li, Yan,Zhang, Ji,Jin, Hang,Wang, Yuanzhong,Li, Yan,Liu, Honggao.

[3]Microbiological, chemical and sensory assessment of (I) whole ungutted, (II) whole gutted and (III) filleted tilapia (Oreochromis niloticus) during refrigerated storage. Cao Rong,Liu Qi,Yin Bang-zhong,Cao Rong,Xue Chang-hu. 2009

[4]FUSION AND ASSESSMENT OF HIGH-RESOLUTION WORLDVIEW-3 SATELLITE IMAGERY USING NNDIFFUSE AND BROVEY ALGOTIRHMS. Zhao, Jinling,Huang, Linsheng,Zhang, Dongyan,Wu, Zhaoli,Guo, Junjie,Zhao, Jinling,Huang, Linsheng,Zhang, Dongyan,Yang, Hao. 2016

[5]Comprehensive Quality Assessment Based Specific Chemical Profiles for Geographic and Tissue Variation in Gentiana rigescens Using HPLC and FTIR Method Combined with Principal Component Analysis. Li, Jie,Zhang, Ji,Zhao, Yan-Li,Wang, Yuan-Zhang,Li, Jie,Huang, Heng-Yu. 2017

[6]Remote sensing monitoring of grassland vegetation growth in the Beijing-Tianjin sandstorm source project area from 2000 to 2010. Yang, Xiuchun,Xu, Bin,Jin, Yunxiang,Qin, Zhihao,Ma, Hailong,Li, Jinya,Zhao, Fen,Yang, Xiuchun,Chen, Shi,Zhu, Xiaohua.

[7]Monitoring plant response to phenanthrene using the red edge of canopy hyperspectral reflectance. Zhu, Linhai,Wang, Jianjian,Jiang, Lianhe,Zheng, Yuanrun,Zhu, Linhai,Chen, Zhongxin,Wang, Jianjian,Ding, Jinzhi,Ding, Jinzhi,Yu, Yunjiang,Li, Junsheng,Xiao, Nengwen,Rimmington, Glyn M..

[8]Ground temperature measurement and emissivity determination to understand the thermal anomaly and its significance on the development of an arid environmental ecosystem in the sand dunes across the Israel-Egypt border. Qin, Z,Berliner, PR,Karnieli, A.

[9]Land use/cover change and regional climate change in an arid grassland ecosystem of Inner Mongolia, China. Li, Zhouyuan,Wu, Wenzhao,Liu, Xuehua,Liu, Xinchao,Li, Zhouyuan,Wu, Wenzhao,Liu, Xuehua,Liu, Xinchao,Li, Zhouyuan,Fath, Brian D.,Sun, Hailian,Liu, Xinchao,Sun, Hailian,Liu, Xinchao,Xiao, Xinru,Cao, Jun.

[10]Spatial and Temporal Dynamics of Urban Heat Island and Their Relationship with Land Cover Changes in Urbanization Process: A Case Study in Suzhou, China. Xu, Yongming,Xu, Yongming,Qin, Zhihao,Wan, Hongxiu,Qin, Zhihao,Wan, Hongxiu.

[11]Climate changes during the past 31 years and their contribution to the changes in the productivity of rangeland vegetation in the Inner Mongolian typical steppe. Wu, Xinhong,Li, Peng,Jiang, Chao,He, Jing,Hou, Xiangyang,Liu, Pengtao.

[12]Characterizing and modeling regional-scale variations in soil salinity in the arid oasis of Tarim Basin, China. Ma, Ligang,Yang, Shengtian,Feng, Juan,Ding, Jianli,Ma, Ligang,Yang, Shengtian,Feng, Juan,Ding, Jianli,Ma, Fenglan,Li, Jiadan,Gu, Qing,Wu, Di.

[13]Land surface phenology of China's temperate ecosystems over 1999-2013: Spatial-temporal patterns, interaction effects, covariation with climate and implications for productivity. Wu, Chaoyang,Peng, Dailiang,Xu, Shiguang,Hou, Xuehui,Gonsamo, Alemu,Gonsamo, Alemu.

[14]Extracting Winter Wheat Planting Area Based on Cropping System with Remote Sensing. Li, Shaokun,Zhu, Zhenlin,Sui, Xueyan,Zhang, Xiaodong,Zhu, Zhenlin,Sun, Xiaoqing,Li, Shaokun. 2011

[15]Monitoring Thermal Pollution in Rivers Downstream of Dams with Landsat ETM plus Thermal Infrared Images. Ling, Feng,Ban, Xuan,Li, Xiaodong,Zhang, Yihang,Du, Yun,Foody, Giles M.,Du, Hao. 2017

[16]Based on HJ-CCD image to monitoring degree of corn tasseling. Wang, Huifang,Wang, Jihua,Gu, Xiaohe,Guo, Wei,Huang, Wenjiang,Wang, Huifang,Wang, Jihua. 2012

[17]A review of data assimilation of remote sensing and crop models. Jin, Xiuliang,Li, Zhenhai,Feng, Haikuan,Xu, Xingang,Yang, Guijun,Jin, Xiuliang,Li, Zhenhai,Feng, Haikuan,Xu, Xingang,Yang, Guijun,Jin, Xiuliang,Li, Zhenhai,Feng, Haikuan,Xu, Xingang,Yang, Guijun,Jin, Xiuliang,Li, Zhenhai,Feng, Haikuan,Xu, Xingang,Yang, Guijun,Kumar, Lalit,Wang, Jihua. 2018

[18]MONITORING MODEL OF CORN LODGING BASED ON SENTINEL-1 RADAR IMAGE. Han, Dong,Yang, Hao,Yang, Guijun,Han, Dong,Qiu, Chunxia. 2017

[19]Monitoring quality of winter wheat based on the HJ satellite images. Wang Yan,Li Cunjun. 2012

[20]Remote sensing of agro-droughts in Guangdong province of China using MODIS satellite data. Gao, Maofang,Qin, Zhihao,Yang, Xiuchun,Qin, Zhihao,Zhang, Hong'ou,Zhou, Xia,Qin, Zhihao,Lu, Liping. 2008

作者其他论文 更多>>

微信小程序