Fusion of photogrammetric and photoclinometric information for high-resolution DEMs from Mars in-orbit imagery

Cheng, Jia-Hui; Douté, S.; Luo, Bin; Zhang, Liangpei

doi:10.1016/j.isprsjprs.2017.06.010

Cited by 22 publications

(43 citation statements)

References 20 publications

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“…The region of interest is taken from a crater at the north-east of Alba Patera (Jiang et al, 2017). The image pair from Table 1 was used to construct the stereo DTM in the Ames Pipeline and the image G20 025970 2217 XN 41N102W was employed for the Shape from Shading algorithm.…”

Section: Crater Near Alba Pateramentioning

confidence: 99%

“…There are tools that can be used to estimate the influence of the atmosphere on the measured intensity values (Stamnes et al, 1988, Ceamanos et al, 2013. Based on the estimations of the atmosphere derived from CRISM measurements a method has been proposed and successfully applied to CTX imagery (Jiang et al, 2017, Douté et al, 2019. This approach relies on external measurements that are not always available and the albedo of the surface is not estimated on a pixel level, but assumed to be constant over large regions of the image.…”

Section: Introductionmentioning

confidence: 99%

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Atmospherically Compensated Shape From Shading on the Martian Surface: Towards the Perfect Digital Terrain Model of Mars

Hess¹,

Wohlfarth²,

Grumpe³

et al. 2019

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

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<p><strong>Abstract.</strong> We have expanded our existing Shape and Albedo from Shading framework which has primarily been used to generate Digital Terrain Models (DTMs) of the Lunar Surface. The extension consists of an atmospheric model such that the approach can be applied to Mars which is covered by a thin atmosphere. The atmospheric model includes attenuation by the atmosphere, diffuse illumination of the surface and scattering from the atmosphere into the direction of the sensor with physically motivated parameters. To estimate the newly introduced atmospheric parameters without additional CRISM measurements, the radiance image and an initializing surface are used. The initial surface is derived from stereo images and serves two purposes. On the one hand, it is the height constraint of the SfS algorithm and on the other hand, it is used for estimating the atmospheric parameters. Relying on this estimation, the aforementioned Shape and Albedo from Shading method is carried out. The results show a considerable improvement compared to DTMs derived with stereo algorithms. The omnipresent stereo artifacts such as pixel locking and mismatches are smoothed out and small details are reconstructed convincingly. The procedure is then compared to the reconstruction without atmospheric compensation. Images in which shadows are present benefit from this method because shadows can now be described by the diffuse illumination of the surface. The reconstruction results indicate the viability of the approach since it can produce convincing DTMs compared to HiRISE ground truth.</p>

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Section: Crater Near Alba Pateramentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Atmospherically Compensated Shape From Shading on the Martian Surface: Towards the Perfect Digital Terrain Model of Mars

Hess¹,

Wohlfarth²,

Grumpe³

et al. 2019

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

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“…To solve the underdetermined problem, regularization terms are needed, such as the smoothness constraint, the integrability constraint, the gradient constraint, the unit normal constraint and so on [6]. For previous studies in photoclinometry, some methods [21,28] get p and q first, then acquire z by integrating p and q, while other methods [8,20,29] include z in the optimization scheme and solve for z directly. We prefer the second choice since it avoids the accumulation of errors and is more concise in the formulation.…”

Section: A Mathematical and Physical Basis Of The Photoclinometric Modelmentioning

confidence: 99%

“…This makes photogrammetry method alone not able to produce high resolution DEMs devoid of various artifacts and noise. For fine details, photoclinometry methods [6,7] seem to be a good solution which is reported to be able to refine the DEM with comparable resolution as the image [8]. The first principle of photoclinometry is the sensitivity of the image intensity variations to the altitude gradients of the surface especially in the sun direction.…”

Section: Introductionmentioning

confidence: 99%

“…When multiple images are compiled, one has to face phenomena of diachronism (different shooting times, variation of brightness, movement of shadows) and strong affine transformations (very different angles of view). In a previous work [8], we proposed a method combining photogrammetric coarse DEMs and photoclinometry at the regularization-level to produce large high resolution DEMs from individual Mars images. The method integrates an intensity model of the image based on a novel radiative transfer scheme and a realistic bidirectional reflectance distribution function (BRDF) model of the surface, namely Ross-Thick Li-Sparse (RTLS) model [24].…”

Section: Introductionmentioning

confidence: 99%

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Small-Scale Topographical Characterization of the Martian Surface With In-Orbit Imagery

Douté

Cheng

2020

IEEE Trans. Geosci. Remote Sensing

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We present a new method applying photoclinometry on photogrammetric coarse products in order to produce high quality, large Digital Elevation Models (DEMs) from images of Mars acquired by the Context Camera (CTX) and the High Resolution Imaging Science Experiment (HiRISE) of the Mars Reconnaissance Orbiter. The method integrates an intensity model of the image based on a novel radiative transfer scheme and a realistic bidirectional reflectance distribution function (BRDF) model of the surface. Two carefully crafted regularization terms are also introduced ensuring the smoothness of the solution and the consistency with the photogrammetric information at large scales.The regularized inversion of the model based on an efficient numerical optimization scheme allows the method to recover details missing or degraded in the photogrammetrically generated DEMs. In addition for processing challenging scenes a coarse-to-fine strategy is put forward. The refined DEMs are validated and carefully characterized by multi-scale analysis. The method insures a spatial resolution that is comparable to that of the imagery and allows measuring heights with a relative precision down to 15 centimeters with HiRISE imagery.

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Sublimation waves: Geomorphic markers of interactions between icy planetary surfaces and winds

Bordiec

Carpy

Bourgeois

et al. 2020

Earth-Science Reviews

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HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

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Fusion of photogrammetric and photoclinometric information for high-resolution DEMs from Mars in-orbit imagery

Cited by 22 publications

References 20 publications

Atmospherically Compensated Shape From Shading on the Martian Surface: Towards the Perfect Digital Terrain Model of Mars

Atmospherically Compensated Shape From Shading on the Martian Surface: Towards the Perfect Digital Terrain Model of Mars

Small-Scale Topographical Characterization of the Martian Surface With In-Orbit Imagery

Sublimation waves: Geomorphic markers of interactions between icy planetary surfaces and winds

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