Automatic in-flight boresight calibration considering topography for hyperspectral pushbroom sensors

Lenz, Andreas; Schilling, Hendrik; Perpeet, Dominik; Wuttke, Sebastian; Gross, Wolfgang L.; Middelmann, Wolfgang

doi:10.1109/igarss.2014.6947103

Cited by 15 publications

(13 citation statements)

References 4 publications

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“…As remote sensing most commonly involves imaging from an aerial or satellite platform, translation (lever arm) offsets have a smaller effect on imaging accuracy, and can be measured manually [ 22 , 23 ]. Accurately geolocated GCPs are commonly used to determine boresight alignment [ 24 ], which can also be adopted for ground based applications [ 25 ].…”

Section: Introductionmentioning

confidence: 99%

Extrinsic Parameter Calibration for Line Scanning Cameras on Ground Vehicles with Navigation Systems Using a Calibration Pattern

Wendel

Underwood

2017

Sensors

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Line scanning cameras, which capture only a single line of pixels, have been increasingly used in ground based mobile or robotic platforms. In applications where it is advantageous to directly georeference the camera data to world coordinates, an accurate estimate of the camera’s 6D pose is required. This paper focuses on the common case where a mobile platform is equipped with a rigidly mounted line scanning camera, whose pose is unknown, and a navigation system providing vehicle body pose estimates. We propose a novel method that estimates the camera’s pose relative to the navigation system. The approach involves imaging and manually labelling a calibration pattern with distinctly identifiable points, triangulating these points from camera and navigation system data and reprojecting them in order to compute a likelihood, which is maximised to estimate the 6D camera pose. Additionally, a Markov Chain Monte Carlo (MCMC) algorithm is used to estimate the uncertainty of the offset. Tested on two different platforms, the method was able to estimate the pose to within 0.06 m/1.05° and 0.18 m/2.39°. We also propose several approaches to displaying and interpreting the 6D results in a human readable way.

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Section: Introductionmentioning

confidence: 99%

Extrinsic Parameter Calibration for Line Scanning Cameras on Ground Vehicles with Navigation Systems Using a Calibration Pattern

Wendel

Underwood

2017

Sensors

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“…The level-arm offsets are estimated and measured by the use of a ruler and more accurately by the use of a total station. Furthermore, the determined boresight misalignments must be highly accurate, because that even small boresight errors lead to significant displacement on the ground, depending on the flight height [6].…”

Section: Introductionmentioning

confidence: 99%

“…Nowadays, boresight calibration methods of the frame imaging sensors are quite established [6,7], but these methods are needed to do boresight calibration over selected flat area with crossing image strips before the actual acquisition flight. Additionally, a lot of ground control points (GCPs) are needed to be arranged on the selected flat area, and the boresight misalignments are calculated by the block adjustment method.…”

Section: Introductionmentioning

confidence: 99%

“…Thus, there is a dire need for a new ground-based boresight calibration method for SLHPIS. A literature survey reveals that some studies on the in-flight boresight calibration of SLHPIS [6,[14][15][16][17][18] do not comprehensively detail a model for the boresight calibration. As a result, the boresight calibration can hardly be done using these available methods.…”

Section: Introductionmentioning

confidence: 99%

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Toward High Altitude Airship Ground-Based Boresight Calibration of Hyperspectral Pushbroom Imaging Sensors

Zhang

Xiangang

et al. 2015

Remote Sensing

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Abstract:The complexity of the single linear hyperspectral pushbroom imaging based on a high altitude airship (HAA) without a three-axis stabilized platform is much more than that based on the spaceborne and airborne. Due to the effects of air pressure, temperature and airflow, the large pitch and roll angles tend to appear frequently that create pushbroom images highly characterized with severe geometric distortions. Thus, the in-flight calibration procedure is not appropriate to apply to the single linear pushbroom sensors on HAA having no three-axis stabilized platform. In order to address this problem, a new ground-based boresight calibration method is proposed. Firstly, a coordinate's transformation model is developed for direct georeferencing (DG) of the linear imaging sensor, and then the linear error equation is derived from it by using the Taylor expansion formula. Secondly, the boresight misalignments are worked out by using iterative least squares method with few ground control points (GCPs) and ground-based side-scanning experiments. The proposed method is demonstrated by three sets of experiments: (i) the stability and reliability of the method is verified through simulation-based experiments; (ii) the boresight calibration is performed using ground-based experiments; and (iii) the validation is done by applying on the orthorectification of the real hyperspectral pushbroom images from a HAA Earth observation payload system developed by our research team-"LanTianHao". The test results show that the proposed boresight calibration approach significantly improves the quality of georeferencing by reducing the geometric distortions caused by boresight misalignments to the minimum level.

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“…Some authors suggest the use of digital elevation maps information for projecting the points and finding the boresight errors [18,23]. There are other approaches that convert the hyperspectral data to RGB images, then acquire RGB images from a EO camera.…”

Section: Boresight Calibrationmentioning

confidence: 99%

Hyperspectral Imaging for Real-Time Unmanned Aerial Vehicle Maritime Target Detection

Freitas

Silva

Almeida

et al. 2017

J Intell Robot Syst

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This work address hyperspectral imaging systems use for maritime target detection using unmanned aerial vehicles. Specifically, by working in the creation of a hyperspectral real-time data processing system pipeline. We develop a boresight calibration method that allows to calibrate the position of the navigation sensor related to the camera imaging sensor, and improve substantially the accuracy of the target geo-reference. We also develop an unsupervised method for segmenting targets (boats) from their dominant background in real-time. We evaluated the performance of our proposed system for target detection in real-time with UAV flight data and present detection results comparing favorably our approach against other state-ofthe-art method.

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Automatic in-flight boresight calibration considering topography for hyperspectral pushbroom sensors

Cited by 15 publications

References 4 publications

Extrinsic Parameter Calibration for Line Scanning Cameras on Ground Vehicles with Navigation Systems Using a Calibration Pattern

Extrinsic Parameter Calibration for Line Scanning Cameras on Ground Vehicles with Navigation Systems Using a Calibration Pattern

Toward High Altitude Airship Ground-Based Boresight Calibration of Hyperspectral Pushbroom Imaging Sensors

Hyperspectral Imaging for Real-Time Unmanned Aerial Vehicle Maritime Target Detection

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