HRSC on Mars Express – Photogrammetric and Cartographic Research

Albertz, Jeorg; Attwenger, Maria; Barrett, John T.; Casley, Simon; Dorninger, Peter; Dorrer, Egon; Ebner, Heinrich; Gehrke, Stephan; Giese, B.; Gwinner, K.; Heipke, Christian; Howington-Kraus, E.; Kirk, Randolph L.; Lehmann, Hartmut; Mayer, Helmut; Müller, Jan-Peter; Oberst, J.; Ostrovskiy, Alexey; Renter, Joerg; Reznik, Sergiy; Schmidt, Ralph; Scholten, F.; Spiegel, Michael; Stilla, Uwe; Wählisch, Marita; Neukum, G.

doi:10.14358/pers.71.10.1153

Cited by 65 publications

(32 citation statements)

References 16 publications

(16 reference statements)

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“…A series of Mars maps were compiled in the early 1990s (Hiller et al, 1993;Neugebauer and Dorrer, 1996) (Jaumann et al, 2007) this work has been conducted also in close collaboration with groups at universities like the TU of Berlin, FU Berlin, TU Dresden, TU Munich or University Hannover. It involves production of image and topographic maps, definition of a large-scale quadrangle schema for cartographic representation of Mars (Lehmann et al, 1997;Albertz et al, 2005), or automatization of map generation processes (PIMap, Gehrke et al, 2006). A new set of cartographic products based on the integration of data from multiple orbits was produced and published recently (Gwinner, et al, 2016).…”

Section: Institutes and Facilitiesmentioning

confidence: 99%

Planetary Cartography and Mapping: Where We Are Today, and Where We Are Heading For?

Naß

Elgner

et al. 2017

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

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ABSTRACT:Planetary Cartography does not only provides the basis to support planning (e.g., landing-site selection, orbital observations, traverse planning) and to facilitate mission conduct during the lifetime of a mission (e.g., observation tracking and hazard avoidance). It also provides the means to create science products after successful termination of a planetary mission by distilling data into maps. After a mission's lifetime, data and higher level products like mosaics and digital terrain models (DTMs) are stored in archives -and eventually into maps and higher-level data products -to form a basis for research and for new scientific and engineering studies. The complexity of such tasks increases with every new dataset that has been put on this stack of information, and in the same way as the complexity of autonomous probes increases, also tools that support these challenges require new levels of sophistication. In planetary science, cartography and mapping have a history dating back to the roots of telescopic space exploration and are now facing new technological and organizational challenges with the rise of new missions, new global initiatives, organizations and opening research markets. The focus of this contribution is to summarize recent activities in Planetary Cartography, highlighting current issues the community is facing to derive the future opportunities in this field. By this we would like to invite cartographers/researchers to join this community and to start thinking about how we can jointly solve some of these challenges. * Corresponding author. This is useful to know for communication with the appropriate person in cases with more than one author.

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Section: Institutes and Facilitiesmentioning

confidence: 99%

Planetary Cartography and Mapping: Where We Are Today, and Where We Are Heading For?

Naß

Elgner

et al. 2017

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

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“…The Digital Elevation Model (DEM) can be derived through the photogrammetric processing of orbital images. Several data sources can be used to generate Mars topographic data, including Visual Imaging System (VIS) on each of the two Viking orbiters (Rosiek, 2005), Mars Orbiter Camera (MOC) on Mars Global Surveyor (Shan, 2005), High Resolution Stereo Camera (HRSC) on Mars Express (Albertz, 2005), and High Resolution Imaging Science Experiment (HiRISE) on Mars Reconnaissance Orbiter (Kirk, 2008).…”

Section: Introductionmentioning

confidence: 99%

“…When compared to other orbital images, HRSC exhibits advantages in image resolution and multi-stereo capabilities. There are nine CCD line detectors mounted in parallel in the focal plane of HRSC camera, which can obtain five panchromatic stereo images and four colour images simultaneously (Albertz, 2005). The HRSC has been imaging the Martian surface since January 2000, and is still on operational up to now.…”

Section: Introductionmentioning

confidence: 99%

An Iterative Pixel-Level Image Matching Method for Mars Mapping Using Approximate Orthophotos

Geng

Xu²,

Lan³

et al. 2017

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

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ABSTRACT:Mars mapping is essential to the scientific research of the red planet. The special terrain characteristics of Martian surface can be used to develop the targeted image matching method. In this paper, in order to generate high resolution Mars DEM, a pixel-level image matching method for Mars orbital pushbroom images is proposed. The main strategies of our method include: (1) image matching on approximate orthophotos; (2) estimating approximate value of conjugate points by using ground point coordinates of orthophotos; (3) hierarchical image matching; (4) generating DEM and approximate orthophotos at each pyramid level; (5) fast transformation from ground points to image points for pushbroom images. The derived DEM at each pyramid level is used as reference data for the generation of approximate orthophotos at the next pyramid level. With iterative processing, the generated DEM becomes more and more accurate and a very small search window is precise enough for the determination of conjugate points. The images acquired by High Resolution Stereo Camera (HRSC) on European Mars Express were used to verify our method's feasibility. Experiment results demonstrate that accurate DEM data can be derived with an acceptable time cost by pixel-level image matching.

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“…The along-track multi-stereo capability of the camera delivers image strips with three-dimensional information, which cover nearly the whole planet. The different observation angles of the panchromatic images per strip allow photogrammetric object point determination in each recorded image strip (Albertz et al, 2005). Four additional channels provide color information in red, green, blue and near infrared.…”

Section: Introductionmentioning

confidence: 99%

Optimizing the Distribution of Tie Points for the Bundle Adjustment Of HRSC Image Mosaics

Bostelmann

Breitkopf

Heipke

2017

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

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ABSTRACT:For a systematic mapping of the Martian surface, the Mars Express orbiter is equipped with a multi-line scanner: Since the beginning of 2004 the High Resolution Stereo Camera (HRSC) regularly acquires long image strips. By now more than 4,000 strips covering nearly the whole planet are available. Due to the nine channels, each with different viewing direction, and partly with different optical filters, each strip provides 3D and color information and allows the generation of digital terrain models (DTMs) and orthophotos. To map larger regions, neighboring HRSC strips can be combined to build DTM and orthophoto mosaics. The global mapping scheme Mars Chart 30 is used to define the extent of these mosaics. In order to avoid unreasonably large data volumes, each MC-30 tile is divided into two parts, combining about 90 strips each. To ensure a seamless fit of these strips, several radiometric and geometric corrections are applied in the photogrammetric process. A simultaneous bundle adjustment of all strips as a block is carried out to estimate their precise exterior orientation. Because size, position, resolution and image quality of the strips in these blocks are heterogeneous, also the quality and distribution of the tie points vary. In absence of ground control points, heights of a global terrain model are used as reference information, and for this task a regular distribution of these tie points is preferable. Besides, their total number should be limited because of computational reasons. In this paper, we present an algorithm, which optimizes the distribution of tie points under these constraints. A large number of tie points used as input is reduced without affecting the geometric stability of the block by preserving connections between strips. This stability is achieved by using a regular grid in object space and discarding, for each grid cell, points which are redundant for the block adjustment. The set of tie points, filtered by the algorithm, shows a more homogenous distribution and is considerably smaller. Used for the block adjustment, it yields results of equal quality, with significantly shorter computation time. In this work, we present experiments with MC-30 half-tile blocks, which confirm our idea for reaching a stable and faster bundle adjustment. The described method is used for the systematic processing of HRSC data.

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HRSC on Mars Express – Photogrammetric and Cartographic Research

Cited by 65 publications

References 16 publications

Planetary Cartography and Mapping: Where We Are Today, and Where We Are Heading For?

Planetary Cartography and Mapping: Where We Are Today, and Where We Are Heading For?

An Iterative Pixel-Level Image Matching Method for Mars Mapping Using Approximate Orthophotos

Optimizing the Distribution of Tie Points for the Bundle Adjustment Of HRSC Image Mosaics

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