Integration of Chang'E-2 imagery and LRO laser altimeter data with a combined block adjustment for precision lunar topographic modeling

Wu, Bo; Hu, Han; Guo, Jian

doi:10.1016/j.epsl.2014.01.023

Cited by 66 publications

(44 citation statements)

References 27 publications

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“…In previous research, adjustment of LOLA point was done by back-projecting the LOLA points onto the images using the sensors models and taking the projected image points as observations; but due to their high accuracy, the LOLA points were only slightly adjusted in local areas (Wu et al, 2014). For a global adjustment, this would significantly increase the computing effort.…”

Section: Global Adjustment Of Multi-mission Datamentioning

confidence: 99%

“…For each block, images from different missions (i.e., CE-2, SELENE) will be adjusted separately based on rigorous sensor models with LOLA data as vertical constraints. Combined block adjustment of CE-2 stereo images (or SELENE images) and LOLA data can be achieved using the method developed in Wu et al (2014) to improve the EO parameters and can also incorporate self-calibration parameters to improve IO parameters . Since we use LOLA data as a reference in the regional bundle adjustment and since the LRO orbit has been refined, it is not necessary to re-adjust the EO parameters of the LRO NAC images in this stage.…”

Section: Global Adjustment Of Multi-mission Datamentioning

confidence: 99%

“…Rigorous sensor models of the orbital images have been established by different groups of researchers based on collinearity equations with exterior orientation (EO) and interior orientation (IO) parameters (Tran et al, 2010;Haruyama et al, 2012;Di et al, 2014;Speyerer et al, 2016;Wu et al, 2014Wu et al, , 2017.…”

Section: Geometric Modeling Of Orbital Imagesmentioning

confidence: 99%

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An Initiative for Construction of New-Generation Lunar Global Control Network Using Multi-Mission Data

Liu

Peng

et al. 2017

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

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ABSTRACT:A lunar global control network provides geodetic datum and control points for mapping of the lunar surface. The widely used Unified Lunar Control Network 2005 (ULCN2005) was built based on a combined photogrammetric solution of Clementine images acquired in 1994 and earlier photographic data. In this research, we propose an initiative for construction of a new-generation lunar global control network using multi-mission data newly acquired in the 21 st century, which have much better resolution and precision than the old data acquired in the last century. The new control network will be based on a combined photogrammetric solution of an extended global image and laser altimetry network. The five lunar laser ranging retro-reflectors, which can be identified in LROC NAC images and have cm level 3D position accuracy, will be used as absolute control points in the least squares photogrammetric adjustment. Recently, a new radio total phase ranging method has been developed and used for high-precision positioning of Chang'e-3 lander; this shall offer a new absolute control point. Systematic methods and key techniques will be developed or enhanced, including rigorous and generic geometric modeling of orbital images, multi-scale feature extraction and matching among heterogeneous multi-mission remote sensing data, optimal selection of images at areas of multiple image coverages, and large-scale adjustment computation, etc. Based on the high-resolution new datasets and developed new techniques, the new generation of global control network is expected to have much higher accuracy and point density than the ULCN2005.

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Section: Global Adjustment Of Multi-mission Datamentioning

confidence: 99%

Section: Global Adjustment Of Multi-mission Datamentioning

confidence: 99%

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An Initiative for Construction of New-Generation Lunar Global Control Network Using Multi-Mission Data

Liu

Peng

et al. 2017

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

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“…LOLA (Smith et al, 2010) or MOLA (Garvin et al, 1999), the spatial resolutions of these datasets are generally larger (e.g., dozens or hundreds of meters). However, operations or researches such as precision landing, maneuvering for rovers, navigation for astronauts (Wu et al, 2014) and crater morphometry (Watters et al, 2015), require topographic models with meter-level resolution, which can be obtained from the high resolution cameras such as the Narrow Angle Camera (NAC) on board the LRO (Robinson et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

Precision 3d Surface Reconstruction From Lro Nac Images Using Semi-Global Matching With Coupled Epipolar Rectification

2017

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

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ABSTRACT:The Narrow-Angle Camera (NAC) on board the Lunar Reconnaissance Orbiter (LRO) comprises of a pair of closely attached highresolution push-broom sensors, in order to improve the swath coverage. However, the two image sensors do not share the same lenses and cannot be modelled geometrically using a single physical model. Thus, previous works on dense matching of stereo pairs of NAC images would generally create two to four stereo models, each with an irregular and overlapping region of varying size. Semi-Global Matching (SGM) is a well-known dense matching method and has been widely used for image-based 3D surface reconstruction. SGM is a global matching algorithm relying on global inference in a larger context rather than individual pixels to establish stable correspondences. The stereo configuration of LRO NAC images causes severe problem for image matching methods such as SGM, which emphasizes global matching strategy. Aiming at using SGM for image matching of LRO NAC stereo pairs for precision 3D surface reconstruction, this paper presents a coupled epipolar rectification methods for LRO NAC stereo images, which merges the image pair in the disparity space and in this way, only one stereo model will be estimated. For a stereo pair (four) of NAC images, the method starts with the boresight calibration by finding correspondence in the small overlapping stripe between each pair of NAC images and bundle adjustment of the stereo pair, in order to clean the vertical disparities. Then, the dominate direction of the images are estimated by project the center of the coverage area to the reference image and back-projected to the bounding box plane determined by the image orientation parameters iteratively. The dominate direction will determine an affine model, by which the pair of NAC images are warped onto the object space with a given ground resolution and in the meantime, a mask is produced indicating the owner of each pixel. SGM is then used to generate a disparity map for the stereo pair and each correspondence is transformed back to the owner and 3D points are derived through photogrammetric space intersection. Experimental results reveal that the proposed method is able to reduce gaps and inconsistencies caused by the inaccurate boresight offsets between the two NAC cameras and the irregular overlapping regions, and finally generate precise and consistent 3D surface models from the NAC stereo images automatically.

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“…A global image map of the Moon with CE-2 7 m-resolution was released by the CLEP on 6 February 2012 (Li, 2012). Wu et al (2014) performed a combined block adjustment of multiple tracks of CE-2 imagery and LOLA data.…”

Section: Introductionmentioning

confidence: 99%

High Precision Topographic Mapping at Chang'E-3 Landing Site with Multi-Source Data

Liu

et al. 2014

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

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ABSTRACT:Chang'e-3 (CE-3) is the first lander and rover of China following the success of Chang'e-1 and Chang'e-2 (CE-2) orbiters. High precision topographic mapping can provide detailed terrain information to ensure the safety of the rover as well as to support scientific investigations. In this research, multi-source data are co-registered into a uniform geographic framework for high precision topographic mapping at the CE-3 landing site. CE-2 CCD images with 7 m-and 1.5 m-resolutions are registered using selfcalibration bundle adjustment method with ground control points (GCPs) selected from LRO WAC mosaic map and LOLA DTM. The trajectory of CE-3 descent images are recovered using self-calibration free net bundle adjustment, and then the topographic data is rectified by absolute orientation with GCPs selected from the adjusted CE-2 DEM and DOM. Finally, these topographic data are integrated into the same geographic framework for unified, multi-scale, high precision mapping of the CE-3 landing site. Key technologies and the mapping products of this research have been used to support the surface operations of CE-3 mission.

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Integration of Chang'E-2 imagery and LRO laser altimeter data with a combined block adjustment for precision lunar topographic modeling

Cited by 66 publications

References 27 publications

An Initiative for Construction of New-Generation Lunar Global Control Network Using Multi-Mission Data

An Initiative for Construction of New-Generation Lunar Global Control Network Using Multi-Mission Data

Precision 3d Surface Reconstruction From Lro Nac Images Using Semi-Global Matching With Coupled Epipolar Rectification

High Precision Topographic Mapping at Chang'E-3 Landing Site with Multi-Source Data

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