Evaluating planetary digital terrain models—The HRSC DTM test

Heipke, Christian; Oberst, J.; Albertz, Jörg; Attwenger, Maria; Dorninger, Peter; Dorrer, Egon; Ewe, M.; Gehrke, Stephan; Gwinner, K.; Hirschmüller, Heiko; Kim, J.R.; Kirk, Randolph L.; Mayer, Helmut; Müller, Jan-Peter; Rengarajan, Rajagopalan; Rentsch, M.; Schmidt, Ralph; Scholten, F.; Shan, Jie; Spiegel, Michael; Wählisch, Marita; Neukum, G.

doi:10.1016/j.pss.2007.07.006

Cited by 75 publications

(57 citation statements)

References 8 publications

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“…Exterior orientation, orbit, and pointing data are then used to rectify individual orbit images to MOLA-DTM with the DLR-VICAR orthorectification program (Gwinner et al, 2009). Adjusted exterior orientation parameters are obtained from bundle adjustment with MOLA data (Heipke et al, 2007).…”

Section: Dlr-vicar For Dtm Processingmentioning

confidence: 99%

“…At the time of writing, there are 11 189 level 3 and above HRSC and SRC products in nadir view, with 3689 of them level 3 images that have been orthorectified with MOLA height data (Heipke et al, 2007).…”

Section: Hrsc Images With Sprcmentioning

confidence: 99%

“…At periapsis, ground resolution of the nadir channel of HRSC images can reach 12.5 m/pixel, with stereo channel resolution typically two times coarser than the nadir channel (Heipke et al, 2007). Because of the elliptical orbit of the satellite, the nadir resolution varies between images covering the same area but also within a single orbital image.…”

Section: Producing Dtms and Orismentioning

confidence: 99%

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Identifying Surface Changes on HRSC Images of the Mars South Polar Residual Cap (Sprc)

Putri¹,

Sidiropoulos²,

Müller³

2016

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

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The surface of Mars has been an object of interest for planetary research since the launch of Mariner 4 in 1964. Since then different cameras such as the Viking Visual Imaging Subsystem (VIS), Mars Global Surveyor (MGS) Mars Orbiter Camera (MOC), and Mars Reconnaissance Orbiter (MRO) Context Camera (CTX) and High Resolution Imaging Science Experiment (HiRISE) have been imaging its surface at ever higher resolution. The High Resolution Stereo Camera (HRSC) on board of the European Space Agency (ESA) Mars Express, has been imaging the Martian surface, since 25th December 2003 until the present-day. HRSC has covered 100 % of the surface of Mars, about 70 % of the surface with panchromatic images at 10-20 m/pixel, and about 98 % at better than 100 

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Section: Dlr-vicar For Dtm Processingmentioning

confidence: 99%

Section: Hrsc Images With Sprcmentioning

confidence: 99%

Section: Producing Dtms and Orismentioning

confidence: 99%

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Identifying Surface Changes on HRSC Images of the Mars South Polar Residual Cap (Sprc)

Putri¹,

Sidiropoulos²,

Müller³

2016

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

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“…After more than ten years on-orbit operation, the HRSC images have almost covered the entire Martian surface. The HRSC team and interested researchers have been investigated the generation of DEM from HRSC images (Hirschmüller, 2006;Heipke, 2007;Gwinner, 2009;Sidiropoulos, 2016). The early released standard HRSC Level-4 data are single orbit products.…”

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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“…Four additional channels provide color information in red, green, blue and near infrared. For a derivation of accurate digital terrain models (DTMs) (Heipke et al, 2007) and orthophotos (Gwinner et al, 2010) the orientation data (position and pointing) of the HRSC is improved via bundle adjustment (Spiegel, 2007). This non-linear least-squares optimization uses a large number of image tie point observations to adjust the parameters of the exterior orientation (EO) of the camera.…”

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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Evaluating planetary digital terrain models—The HRSC DTM test

Cited by 75 publications

References 8 publications

Identifying Surface Changes on HRSC Images of the Mars South Polar Residual Cap (Sprc)

Identifying Surface Changes on HRSC Images of the Mars South Polar Residual Cap (Sprc)

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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