Omnidirectional roughness algorithm for topographic signature analysis of lunar craters

    公开(公告)号:US10354398B2

    公开(公告)日:2019-07-16

    申请号:US15367158

    申请日:2016-12-01

    Abstract: A method executed by a computer system to construct an omnidirectional roughness (OR) map of a lunar crater based on a data set of a digital elevation model (DEM) of surface textures of the lunar crater is provided. The method includes setting a center and a first point of the data set, selecting a moving window, utilizing a one point-to-point step when the moving window slides over the DEM, calculating a morphological surface roughness (MSR) that detects a vertical roughness of the lunar crater, calculating a topographic frequency coefficient (TFC) that detects a horizontal roughness of the lunar crater, constructing the OR map, and displaying the OR map to show a surface roughness of the lunar crater.

    Lunar brightness temperature modeling based on the microwave radiometer data

    公开(公告)号:US10346565B2

    公开(公告)日:2019-07-09

    申请号:US15364239

    申请日:2016-11-29

    Inventor: Zhanchuan Cai

    Abstract: A computer system executes hierarchical MK splines approximation for lunar brightness temperature (TB) data approximation. The computer system constructs a TB model map by generating a final approximation function for constructing an interpolated surface that approximates the TB data set obtained by lunar probe. The method includes executing MK splines approximation to the TB data set with a hierarchy of control lattice from coarsest lattice to densest lattice to iteratively obtain approximation functions. The TB model map is constructed by generating a final approximation function to construct the interpolated surface.

    Systems and methods for reducing CPU time to compute state space of resource allocation system

    公开(公告)号:US10346214B2

    公开(公告)日:2019-07-09

    申请号:US15649634

    申请日:2017-07-13

    Abstract: Given a sequential resource allocation system (RAS) topology structure, a state space, called an impulse state space, corresponding to the impulse response of a linear time-invariant system (LTS), is computed by small enough configuration of the considered RAS. Given an initial resource configuration of a RAS which corresponds to an input of an LTS, a complete state enumeration can be obtained by defining the convolution of this configuration with the pre-computed impulse state space. One example embodiment reduces central processing unit (CPU) time to process instructions that compute a target state space of a RAS includes constructing an initial RAS and an initial state space, and extending the initial state space iteratively under a target resource configuration.

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