| 陆生动物声音遥感：定位与误差分析 |
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| 引用本文： | 沈少青,宫鹏,程晓,应清.陆生动物声音遥感：定位与误差分析[J].遥感学报,2011,15(6):1265-1281. |
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| 作者姓名： | 沈少青 宫鹏 程晓 应清 |
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| 作者单位： | 遥感科学国家重点实验室 中国科学院遥感应用研究所、北京师范大学,北京 100101;遥感科学国家重点实验室 中国科学院遥感应用研究所、北京师范大学,北京 100101;加州大学伯克利分校 环境科学、政策和管理系,美国 加利福尼亚;北京师范大学 全球变化与地球系统科学研究院,北京 100875;遥感科学国家重点实验室 中国科学院遥感应用研究所、北京师范大学,北京 100101 |
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| 基金项目： | 国家高技术研究发展计划(863计划)(编号: 2006AA12Z112,2009AA12200101) |
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| 摘 要： | 声音遥感技术可以极大地提高人们对动物的监测、研究和保护能力。本研究设计了一套廉价的陆生动物声音定位系统。该系统集成了市场上现成的录音笔和无线控制设备,价格明显低于许多动物定位系统。使用自主研发的声音定位软件,在X、Y方向上的绝对定位误差最大为1.69 m,可满足大部分动物定位需求;Z方向的定位误差偏大,结果尚不理想。为了揭示影响声音定位系统精度的各种因素及其影响,采用蒙特卡罗方法进行分析,发现录音站点的位置测量误差、到达时间差的估计误差和声速的估计误差均会影响最终的声音定位精度。此外,该方法还可用于在声音定位系统布设阶段确定系统参数的合理数值,包括录音节点总个数和空间尺度。
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| 关 键 词： | 声音遥感 生物声音定位 生物监测 误差分析 蒙特卡罗方法 |
| 收稿时间： | 2010/12/6 0:00:00 |
| 修稿时间： | 7/1/2011 12:00:00 AM |
Sound-based remote sensing of terrestrial animals: localization and error analysis |
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| SHEN Shaoqing,GONG Peng,CHENG Xiao and YING Qing.Sound-based remote sensing of terrestrial animals: localization and error analysis[J].Journal of Remote Sensing,2011,15(6):1265-1281. |
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| Authors: | SHEN Shaoqing GONG Peng CHENG Xiao and YING Qing |
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| Institution: | State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Beijing 100101, China;State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Beijing 100101, China;Department of Environmental Science, Pallcy and Managemen;College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China;State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Beijing 100101, China |
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| Abstract: | Advanced sound-based remote sensing technology for terrestrial animals could greatly enhance our ability of animals monitoring, research and protection. In this research, we designed an inexpensive bioacoustic localization system for terrestrial animals, which integrates commercial off-the-shelf recorders and wireless controllers and is much cheaper than most animal localization systems. Combined with the bioacoustic localization software we developed, the system is verifi ed to have the ability to fulfi ll our requirements because its localization errors along the X and Y directions are both less than 1.69 m, although the error along the Z direction is a little bit larger. In order to assess the factors infl uencing the localization accuracy, we applied Monte Carlo simulation method to conduct error analysis. We found that errors, including in surveying recording stations, estimating Time Difference of Arrival (TDOA), and estimating sound velocity, will all infl uence the fi nal localization accuracy. Besides, the Monte Carlo method could also be used for choosing the values of system parameters when implementing a bioacoustic localization system of terrestrial animals, such as the total number of recording stations and spatial ranges of the system. |
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| Keywords: | sound-based remote sensing bioacoustic localization biological monitoring error analysis Monte Carlo |
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