地球信息科学学报 ›› 2022, Vol. 24 ›› Issue (1): 165-175.doi: 10.12082/dqxxkx.2022.210655

• 遥感科学与应用技术 • 上一篇    下一篇

塔基遥感视频监控有效性评估方法

欧庚1,2(), 周良辰1,2, 林冰仙1,2, 汪洋3, 周海洋3, 闾国年1,2,*()   

  1. 1.南京师范大学地理科学学院,南京 210046
    2.江苏省地理信息资源开发与利用协同创新中心,南京 210023
    3.南京市国土资源信息中心,南京 210008
  • 收稿日期:2021-10-21 修回日期:2021-11-10 出版日期:2022-01-25 发布日期:2022-03-25
  • 通讯作者: * 闾国年(1961— ),男,江苏海安人,博导,教授,主要从事地理信息系统研究。E-mail: gnlu@njnu.edu.cn
  • 作者简介:欧庚(1998— ),男,甘肃定西人,硕士生,从事视觉传感网覆盖及优化研究。E-mail: ougeng@foxmail.com
  • 基金资助:
    国家重点研发计划项目(2017YFB0503500)

Effectiveness Evaluation Method of Tower-based Remote Sensing Videos

OU Geng1,2(), ZHOU Liangchen1,2, LIN Bingxian1,2, WANG Yang3, ZHOU Haiyang3, LV Guonian1,2,*()   

  1. 1. School of Geography Science, Nanjing Normal University, Nanjing 210046, China
    2. Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China
    3. Nanjing Resources of Land Information Center, Nanjing 210008, China
  • Received:2021-10-21 Revised:2021-11-10 Online:2022-01-25 Published:2022-03-25
  • Supported by:
    National Key Research and Development Program of China(2017YFB0503500)

摘要:

以铁塔作为基础平台,利用其上搭载的相机或其他传感器进行近地面观测被称为塔基遥感。塔基遥感具有不易受到云层遮挡等自然因素影响、可以全天候实时获取视频信息的特点,可有效填补航空航天遥感与地面观测网络之间的尺度空缺,已在各个领域得到广泛应用。然而在面对大面积观测区域和复杂的任务目标时,塔基遥感的实际应用则受到复杂的地形及成像时空间分辨率的约束。如何评估其成像有效性成为未来塔基遥感平台优化建设的关键。为解决上述问题,本研究剖析了塔基遥感相机的成像特点和主要遮挡因素,构建起其实际覆盖范围分析方法。依托主要应用的空间分辨率需求建立分辨率分级体系,并结合实际覆盖范围和相机参数明确各项应用的可应用区域,据此评估塔基遥感视频数据有效性。以南京市江宁区“慧眼守土”塔基遥感视频监控系统为例进行实验分析,结果表明,现有塔基遥感相机受到了周边地形及塔基自身的严重遮挡,5 km内平均覆盖率仅3.20%,塔基自身造成了47.66%视角被遮挡。具有极高、高等级分辨率需求的应用实际覆盖情况较为理想,但中、低等级分辨率应用的实际覆盖情况需要进一步优化。增加相机高度、提升相机变焦能力以及增设环形轨道可以有效对塔基遥感相机的应用有效性进行优化。本研究的分析方法和结果可以为未来数据采集和各项实际应用提供支撑,成为系统评估及选址优化的参考依据。

关键词: 塔基遥感, 塔基遥感相机, 成像模型, 数据有效性评估, 可视域分析, 成像空间分辨率, 传感器布局, 慧眼守土

Abstract:

Taking the iron tower as the basic platform and using the cameras or other sensors on it to conduct near-surface observations is called tower-based remote sensing. Tower-based remote sensing is not easily affected by natural factors such as cloud occlusion and can obtain video information in real time around the clock. Tower-based remote sensing effectively fills the scale gap between aerial remote sensing and ground observation network, so it has been widely used in various fields. However, when it faces a large area of observation and complex missions, its actual application is usually constrained by the complicated terrain and the spatial resolution. How to evaluate its imaging effectiveness has become the key to the optimization of tower-based remote sensing platform in the future. This research analyzes the imaging characteristics and main occlusion factors of the tower-based remote sensing cameras and constructs its actual coverage analysis method. This research establishes a resolution grading system relying on the spatial resolution requirements of the main applications and clarifies the applicable areas of main applications based on the actual coverage and camera parameters to evaluate the availability. Taking the "smart eyes guarding the land" tower-based remote sensing video system in Jiangning district, Nanjing City as an example, the experimental analysis shows that this method can efficiently calculate the actual coverage range of the tower-based remote sensing cameras in a larger observation area and analyze the main type and proportion of obstructions. This method can clarify the actual spatial resolution of imaging in each area considering the zoom ability of the camera and evaluate the application effectiveness of the system. The existing tower-based remote sensing camera is severely blocked by the surrounding terrain and the tower itself, and the average coverage rate within 5km is only 3.20%. The tower itself causes 47.66% of the viewing angle to be blocked. The actual coverage of applications with extremely high and high resolution is better, but the rest applications’ coverage needs to be further optimized. Increasing the height of the camera, improving the zoom capability of the camera, and adding a circular track can effectively optimize the application effectiveness of the tower-based remote sensing camera. This method can provide support for future data acquisition and practical applications and be a reference for system evaluation and location optimization in the future.

Key words: tower-based remote sensing, imaging model, tower-based remote sensing cameras, data effectiveness evaluation, visible field analysis, imaging spatial resolution, sensor layout, smart eyes guarding the land