塔基遥感视频监控有效性评估方法

doi:10.12082/dqxxkx.2022.210655

Abstract

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

OU Geng, ZHOU Liangchen, LIN Bingxian, WANG Yang, ZHOU Haiyang, LV Guonian. Effectiveness Evaluation Method of Tower-based Remote Sensing Videos[J].Journal of Geo-information Science, 2022, 24(1): 165-175.DOI:10.12082/dqxxkx.2022.210655

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分辨率等级	空间分辨率/m	示例应用
极高	(0, 0.005)	车牌、行人识别
高	[0.005, 0.01)	车辆、树木识别
中	[0.01, 0.1)	建筑工程类型识别、非法开采监测
低	[0.1, 5]	农田、林地、建筑用地分类及识别

相机编号	实际覆盖占比/%	自遮挡角度/°	自遮挡盲区占比/%	地形遮挡盲区占比/%	主要遮挡物类型
A	2.84	66.57	18.49	78.67	山体
B	4.69	165.84	46.07	49.24	塔基、建筑、树木
C	3.53	255.16	70.88	25.59	塔基
D	3.02	179.17	49.77	47.21	塔基、山体、建筑
E	1.90	191.05	53.07	45.03	塔基、密集建筑
平均	3.20	171.56	47.66	49.14

分辨率等级	成像距离下限/m	成像距离上限/m
低	197	5000
中	20	2968
高	10	297
极高	2	148

遮挡物类型	示例	特点
山体	相机A东北方向、南方向2000 m	相机与山体间地表正常成像,山体后均无法成像
密集建筑及高大树木	相机B西方向,相机D南方向	可覆盖区域呈细碎点状散落分布,多位于居民区
塔基塔体	相机B东方向、相机C/D/E大部分区域	从相机位置出发,一定角度范围内均无法覆盖

Effectiveness Evaluation Method of Tower-based Remote Sensing Videos

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