Airborne remote sensing without ground control

Mostafa, Mahmoud; Hutton, J.

doi:10.1109/igarss.2001.978222

Cited by 10 publications

(4 citation statements)

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“…Then, it computes the specific force measured by accelerometer to relative motion acceleration in navigation frame, first integrates to velocity, and second integrates to position of IMU. The dynamical solutions are very accurate [11]. However, the errors of velocity, position, and attitude solved by inertial navigation will slowly grow with time because of integration process.…”

Section: Principle and Components Of Airborne Posmentioning

confidence: 99%

Airborne Position and Orientation System for Aerial Remote Sensing

Fang

et al. 2017

International Journal of Aerospace Engineering

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The airborne Position Orientation System (POS) can accurately measure space-time reference information and plays a vital role in aerial remote sensing system. It may be applied in a direct georeference system for optical camera and a motion imaging system for Synthetic Aperture Radar (SAR), which further advances efficiency and quality of imaging sensors. In this paper, the operation principle and components of airborne POS are introduced. Some key technologies of airborne POS are summarized. They include the error calibration and compensation, initial alignment, lever arm error modeling, time synchronization, and integrated estimation method. A high precision airborne POS has been developed and applied to a variety of aerial remote sensing systems.

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Section: Principle and Components Of Airborne Posmentioning

confidence: 99%

Airborne Position and Orientation System for Aerial Remote Sensing

Fang

et al. 2017

International Journal of Aerospace Engineering

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“…However, the remote sensing system requires the airplane to be moving in an ideal way (uniform rectilinear motion), which often cannot be achieved in real applications because of the external environment such as airflow disturbance and internal disturbance such as the vibration of the airplane, resulting in blurring, defocussing, distortion and pixel aliasing that lower the quality of the image (De Macedo et al, 2007; Chen et al, 2012). At the beginning of this century, a direct geo-referencing system was proposed to directly measure the position and orientation of the sensor without the use of traditional ground-based measurements (Mostafa and Hutton, 2001). A Position and Orientation System (POS) such as a Global Position System (GPS)/Inertial Navigation System (INS) integrated measurement system, has become indispensable in airborne remote sensing systems because it can provide real-time motion parameters (Fang et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

A Real-time Gravity Compensation Method for a High-Precision Airborne Position and Orientation System based on a Gravity Map

2017

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Motion compensation is a significant part of an airborne remote sensing system. A Position and Orientation System (POS) can directly measure the motion information of an airborne remote sensing payload that can improve the quality of airborne remote sensing images. Gravity disturbance, information on which is often ignored due to being difficult to acquire in real-time, has become the main error source of POS in the development of inertial components. In this paper, a new real-time gravity compensation method is proposed, which includes the gravity disturbance as the error states of a POS Kalman filter, and an accurate gravity disturbance model is constructed using a time-varying Gaussian-Markov model based on a high-precision gravity map, whose resolution is enhanced by a new interpolation method based on Gaussian Process Regression (GPR). A flight experiment was conducted to evaluate the efficiency of the proposed method and the results showed that the proposed method performs well when compared with other real-time gravity compensation methods.

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“…One can achieve decent georeferencing of airborne imagery by getting these parameters through integration and Kalman filtering of data provided by a GPS and an IMU (see, for instance, (Mostafa and Hutton, 2001)). This process is called Direct Georeferencing.…”

Section: Georeferencingmentioning

confidence: 99%

Correction of Airborne Pushbroom Images Orientation Using Bundle Adjustment of Frame Images

Barbieux¹,

Constantin²,

Merminod³

2016

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:To compute hyperspectral orthophotos of an area, one may proceed like for standard RGB orthophotos : equip an aircraft or a drone with the appropriate camera, a GPS and an Inertial Measurement Unit (IMU). The position and attitude data from the navigation sensors, together with the collected images, can be input to a bundle adjustment which refines the estimation of the parameters and allows to create 3D models or orthophotos of the scene. But most of the hyperspectral cameras are pushbrooms sensors : they acquire lines of pixels. The bundle adjustment identifies tie points (using their 2D neighbourhoods) between different images to stitch them together. This is impossible when the input images are lines. To get around this problem, we propose a method that can be used when both a frame RGB camera and a hyperspectral pushbroom camera are used during the same flight. We first use the bundle adjustment theory to obtain corrected navigation parameters for the RGB camera. Then, assuming a small boresight between the RGB camera and the navigation sensors, we can estimate this boresight as well as the corrected position and attitude parameters for the navigation sensors. Finally, supposing that the boresight between these sensors and the pushbroom camera is constant during the flight, we can retrieve it by matching manually corresponding pairs of points between the current projection and a reference. Comparison between the direct georeferencing and the georeferencing with our method on three flights performed during the Leman-Baikal project shows great improvement of the ground accuracy.

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Airborne remote sensing without ground control

Cited by 10 publications

References 0 publications

Airborne Position and Orientation System for Aerial Remote Sensing

Airborne Position and Orientation System for Aerial Remote Sensing

A Real-time Gravity Compensation Method for a High-Precision Airborne Position and Orientation System based on a Gravity Map

Correction of Airborne Pushbroom Images Orientation Using Bundle Adjustment of Frame Images

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