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Cloudscape rebuilding method combining satellite cloud pictures and natural images

A technology of natural images and satellite cloud images, applied in the field of cloudscape reconstruction, which can solve the problems of missing surface details of cumulus models

Active Publication Date: 2018-02-13
BEIHANG UNIV
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  • Application Information

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Problems solved by technology

Due to the influence of the scale and resolution of satellite cloud images, the cumulus model modeled by it usually lacks surface details

Method used

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  • Cloudscape rebuilding method combining satellite cloud pictures and natural images
  • Cloudscape rebuilding method combining satellite cloud pictures and natural images

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Embodiment Construction

[0032] Below in conjunction with example the present invention is described in further detail:

[0033] The invention combines natural images and satellite cloud images to carry out cumulus scene modeling. Such as figure 1 As shown, the implementation process of the present invention includes five main steps: building a cumulus data set, using a threshold method to distinguish natural image pixels into cloud and sky pixels and extracting outer contours, and modeling cumulus based on the multiple forward scattering model, Generate cumulus data sets; construct initial cumulus, fuse satellite cloud images with multi-band modeling of initial cumulus, and perform two-dimensional contour projection sampling from different perspectives of the initial cumulus model, as the feature descriptor of the cumulus model; cumulus Pixel matching, using the directed Chamfer distance as a measure, retrieves the outer contours in the cumulus data set, and returns the best match; detail filling, s...

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Abstract

The invention discloses a cloudscape rebuilding method combining satellite cloud pictures and natural images. According to the method, firstly, the natural images are subjected to pixel separation; the cumulus cloud pixel and external profile are extracted out; a cumulus cloud data set is generated on the basis of the multiplex forward scattering model modeling detail cumulus cloud; secondly, initial cumulus cloud is rebuilt from the satellite cloud picture; two-dimensional profile projection sampling is performed on different view angles of the initial cumulus cloud module and is used as a feature descriptor of the cumulus cloud model; then, the optimum matching in the cumulus cloud data set is retrieved by using the directed Chamfer distance as the measure; next, the corresponding cumulus cloud model surface detail features in the cumulus cloud data set are extracted; on the basis of the laplacian mesh deformation, the detail features are transferred into the initial cumulus cloud surface; finally, sampling is performed inside the cloud; a particle model is generated; drawing is performed. The method has the advantages that the features of the two kinds of data sources of satellite cloud pictures and natural images are combined; the cumulus cloud scene with the lifelike appearance and rich details can be rebuilt.

Description

technical field [0001] The invention belongs to the field of computer graphics, in particular to the field of cloud modeling, and in particular relates to a cloud scene reconstruction method combining satellite cloud images and natural images. Background technique [0002] Clouds are an important component of natural scenes. Unlike other objects with fixed shapes, the processes of their formation, development, and dissipation are extremely complex, and it is difficult to directly obtain their 3D models. In the field of computer graphics, classical cloud modeling methods are mainly divided into two categories, process-based and physics-based methods. Process-based methods mainly use noise textures, particle systems, and interactive means to model clouds. Modelers need to adjust parameters tediously to construct cloud shapes; physics-based methods simulate clouds by solving simplified Novier-Stokes equations. The physical process of generation, this method is time-consuming, ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T17/00
CPCG06T7/13G06T7/136G06T17/00G06T2207/10032G06T2210/61
Inventor 梁晓辉陈俊平张自立
Owner BEIHANG UNIV
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