Geo-Location Algorithm for TDI-CCD Aerial Panoramic Camera

Yanlu, 杜言鲁 Du; Ya-lin, 丁亚林 Ding; Yong-sen, 许永森 Xu; Zhiming, 刘志明 Liu; Ji-hong, 修吉宏 Xiu

doi:10.3788/aos201737.0328003

Cited by 5 publications

(7 citation statements)

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“…The positioning algorithm mainly uses the ellipsoid model exploited in the WGS-84 coordinate system (World Geodetic System-1984) as the earth model, which is declared by the 17th Congress of the Union of Geodesy and Geophysics. It proposed a series of parameters defined as follows [17,19].…”

Section: Basic Coordinate Transformation Of Target Positioning Algorithmmentioning

confidence: 99%

“…The GPS/POS carried by aircraft or camera can upload its attitude and position information (λ, ϕ, h). According to Equation (5) [17], the position of the camera in the earth coordinate system (X E , Y E , Z E ) can be presented as…”

Section: Basic Coordinate Transformation Of Target Positioning Algorithmmentioning

confidence: 99%

Section: Active Positioning Algorithm Based On Laser Ranging Sensormentioning

confidence: 99%

“…The distance between the camera and the target R can be gained by measuring the distance of the target through the airborne laser range finder. Under this model, the coordinates in the camera coordinate system of the target point can be described by Equation (17), and the position of the target in the earth coordinate system can also be calculated by using coordinate transformation [19,22]. The above two algorithms for positioning using a laser range finder directly calculate the position of a target in the camera coordinate system without solving the position through the collinear equation, leading to the outcome no longer being affected by the target elevation error.…”

Section: Active Positioning Algorithm Based On Laser Ranging Sensormentioning

confidence: 99%

“…Contrarily, the defined Passive localization algorithm does not need to actively transmit signals and only relies on its parameters for positioning. In light of many former research results, the earth ellipsoid model is widely accepted as a mainstream method in the location process [12][13][14][15][16][17] for the purpose of realizing the target location with a single image. For instance, the target localization algorithm based on the earth ellipsoid model proposed by Stich, E.J.…”

Section: Introductionmentioning

confidence: 99%

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Review of Target Geo-Location Algorithms for Aerial Remote Sensing Cameras without Control Points

et al. 2022

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Aerial cameras are one of the main devices for obtaining ground images in the air. Since the industrial community sets higher requirements of aerial cameras’ self-locating performance yearly using aerial cameras to locate ground targets has become a research hotspot in recent years. Based on the situation that no ground control point exists in target areas, the calculation principle of the aerial remote sensing image positioning algorithm has been analyzed by establishing different positioning models. Several error analysis models of the positioning algorithm based on the total differential method and the Monte Carlo method are established, and relevant factors that cause the positioning error are summarized. The last section proposes the optimization direction of aerial camera positioning algorithms in the future, which are verified by related simulation experiments. This paper provides a certain degree of guidelines in this area for researchers, who can quickly understand the current development and optimization direction of target geo-location algorithms of aerial remote sensing imagery.

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Section: Basic Coordinate Transformation Of Target Positioning Algorithmmentioning

confidence: 99%

Section: Basic Coordinate Transformation Of Target Positioning Algorithmmentioning

confidence: 99%

Section: Active Positioning Algorithm Based On Laser Ranging Sensormentioning

confidence: 99%

Section: Active Positioning Algorithm Based On Laser Ranging Sensormentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Review of Target Geo-Location Algorithms for Aerial Remote Sensing Cameras without Control Points

et al. 2022

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Ground target geolocation based on digital elevation model for airborne wide-area reconnaissance system

Qiao

Ding

et al. 2018

J. Appl. Rem. Sens.

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Multitarget location capable of adapting to complex geomorphic environment for the airborne photoelectric reconnaissance system

Bai

Song

Zuo

et al. 2020

J. Appl. Rem. Sens.

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Geo-Location Algorithm for TDI-CCD Aerial Panoramic Camera

Cited by 5 publications

References 0 publications

Review of Target Geo-Location Algorithms for Aerial Remote Sensing Cameras without Control Points

Review of Target Geo-Location Algorithms for Aerial Remote Sensing Cameras without Control Points

Ground target geolocation based on digital elevation model for airborne wide-area reconnaissance system

Multitarget location capable of adapting to complex geomorphic environment for the airborne photoelectric reconnaissance system

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