Locations of Non-Cooperative Targets Based on Binocular Vision Intersection and Its Error Analysis

The precise locations of unknown non-cooperative targets are a long-standing technical problem that needs to be solved urgently in disaster relief and emergency rescue. An imaging model of photography to a non-cooperative target was established based on the binocular vision forward intersection. The collinear equation representing the spatial position relationship between the target and its two images was obtained through coordinate system transformation, and the system of equations to calculate the geographic coordinates of the target was derived, which realized the geo-location of the unknown non-cooperative target with no control points and no source. The composition and source of the error of this target location method were analyzed, and the equation to calculate the total error of the target location was obtained according to the error synthesis theory. The accuracy of the target location was predicted. When the elevation difference between the camera and the target is 3 km, the location accuracy is 15.5 m. The same ground target was imaged by a certain type of aerial camera at different locations 3097 m above ground, and a target location verification experiment was completed. The longitude and latitude of the target obtained were compared with the true geographic longitude and latitude, and the location error of the verification experiment was calculated to be 16.3 m. The research work of this paper provides a theoretical basis and methods for the precise locations of unknown non-cooperative targets and proposes specific measures to improve the accuracy of target location.

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Publication Details

Journal
Applied Sciences
Published
2025-09-09
DOI
https://doi.org/10.3390/app15189867
Primary Topic
Advanced Measurement and Detection Methods
Type
article
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Locations of Non-Cooperative Targets Based on Binocular Vision Intersection and Its Error Analysis

Guangsen Liu, Weining Chen, Kui Shi, H. Yang et al.
Applied Sciences
Advanced Measurement and Detection Methods
article

Locations of Non-Cooperative Targets Based on Binocular Vision Intersection and Its Error Analysis

Guangsen Liu, Weining Chen, Kui Shi, H. Yang, Jia Feng
article en

Abstract

The precise locations of unknown non-cooperative targets are a long-standing technical problem that needs to be solved urgently in disaster relief and emergency rescue. An imaging model of photography to a non-cooperative target was established based on the binocular vision forward intersection. The collinear equation representing the spatial position relationship between the target and its two images was obtained through coordinate system transformation, and the system of equations to calculate the geographic coordinates of the target was derived, which realized the geo-location of the unknown non-cooperative target with no control points and no source. The composition and source of the error of this target location method were analyzed, and the equation to calculate the total error of the target location was obtained according to the error synthesis theory. The accuracy of the target location was predicted. When the elevation difference between the camera and the target is 3 km, the location accuracy is 15.5 m. The same ground target was imaged by a certain type of aerial camera at different locations 3097 m above ground, and a target location verification experiment was completed. The longitude and latitude of the target obtained were compared with the true geographic longitude and latitude, and the location error of the verification experiment was calculated to be 16.3 m. The research work of this paper provides a theoretical basis and methods for the precise locations of unknown non-cooperative targets and proposes specific measures to improve the accuracy of target location.

Applied SciencesVol. 15(18)
Chinese Academy of Sciences (CN), Xi'an Institute of Optics and Precision Mechanics (CN), University of Chinese Academy of Sciences (CN)
Openalex Percentile: Top 77%
Advanced Measurement and Detection Methods
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