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首页> 外文期刊>International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences >ATMOSPHERICALLY COMPENSATED SHAPE FROM SHADING ON THE MARTIAN SURFACE: TOWARDS THE PERFECT DIGITAL TERRAIN MODEL OF MARS
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ATMOSPHERICALLY COMPENSATED SHAPE FROM SHADING ON THE MARTIAN SURFACE: TOWARDS THE PERFECT DIGITAL TERRAIN MODEL OF MARS

机译：从火星表面上的阴影进行大气补偿的形状：走向火星的完美数字地形模型

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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.
机译：我们从“阴影”框架扩展了现有的“形状”和“反照率”，该框架主要用于生成月球表面的数字地形模型（DTM）。该扩展包含一个大气模型，因此该方法可以应用于被稀薄大气覆盖的火星。大气模型包括由大气引起的衰减，表面的漫反射以及具有物理激励参数的从大气到传感器方向的散射。为了在不进行额外CRISM测量的情况下估算新引入的大气参数，使用了辐射图像和初始化表面。初始表面是从立体图像派生的，有两个目的。一方面，它是SfS算法的高度限制，另一方面，它用于估计大气参数。依靠该估计，执行前述的Shading方法的Shape and Albedo。结果表明，与通过立体声算法得出的DTM相比，有了很大的改进。平滑了无处不在的立体伪像，例如像素锁定和失配，并令人信服地重建了小细节。然后将该程序与没有大气补偿的重建进行比较。存在阴影的图像可从此方法中受益，因为现在可以通过表面的漫射照明来描述阴影。重建结果表明该方法的可行性，因为与HiRISE地面实况相比，它可以产生令人信服的DTM。

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