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Method for improving ice and snow forward scattering effect based on kernel drive model

A nuclear-driven model and forward scattering technology, applied in the field of spatial information, can solve the problems of unclear physical meaning and affect inversion accuracy, and achieve the effect of clear logic, improved fitting effect, and concise method.

Active Publication Date: 2018-12-07
BEIJING NORMAL UNIVERSITY
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AI Technical Summary

Problems solved by technology

Therefore, when using this model to simulate the reflection characteristics of ice and snow and invert the albedo of ice and snow, the physical meaning contained in it is not clear, which affects its inversion accuracy

Method used

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  • Method for improving ice and snow forward scattering effect based on kernel drive model
  • Method for improving ice and snow forward scattering effect based on kernel drive model
  • Method for improving ice and snow forward scattering effect based on kernel drive model

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Embodiment 1

[0038] The operation was performed on a computer equipped with Intel’s second-generation Core i3-2100@3.10GHz processor, 16.0GB RAM, and NvidiaGeForce GT 630 graphics card. Taking POLDER's multi-angle ice and snow reflectance data as an example, according to figure 1 In the process shown in the process, the multi-angle ice and snow reflectance data is processed, and the fitting effect of the nuclear-driven model on the observation data is compared before and after the correction method is used.

[0039] figure 2 with image 3 The comparison diagrams of the fitting effect of the nuclear-driven model on the observed data before and after the use of the correction method are respectively. It can be seen from Figure 2 that the pre-correction method has relatively poor fitting results to the POLDER ice and snow reflectance data, and cannot accurately characterize the bidirectional reflection characteristics of ice and snow; and the data before correction ( figure 2 ) Compared to the...

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Abstract

The invention relates to a method for improving ice and snow forward scattering effect based on a kernel drive model and belongs to the technical field of space information. The kernel drive model isinitially provided by Roujean. The kernel drive model is characterized by conciseness, rapidness and certain physical significance, so the kernel drive model is widely applied to data processing processes of various satellite-borne sensors for earth observation. The model is established based on a vegetation-soil system, reflection characteristics of a vegetation covered earth surface and an ice and snow covered earth surface are remarkably different, such as the fact that the vegetation covered earth surface has strong backward reflection, and the ice and snow covered earth surface has relatively strong forward scattering property, so when the model is used for simulating ice and snow reflection characteristics and inverting ice and snow reflectivity, contained physical significance is undefined, and inversion precision is influenced. According to the method for correcting ice and snow forward scattering based on the kernel drive model, capability of simulating ice and snow bidirectional reflection is improved, and the method has relatively high application value in aspects such as improvement of ice and snow reflectivity inversion precision.

Description

1. Technical Field [0001] The invention relates to a method for improving the forward scattering effect of a nuclear drive model on ice and snow, and belongs to the technical field of space information. 2. Background technology [0002] Quantitative remote sensing is a method and technology that uses remote sensing sensors to obtain electromagnetic wave information of ground objects, and with the support of prior knowledge and computer systems, quantitatively obtain the parameters or characteristics of observation targets. As an emerging remote sensing information acquisition and analysis method, quantitative remote sensing emphasizes the use of mathematical or physical models to connect remote sensing information with the observed surface target parameters, and quantitatively invert or calculate certain geological target parameters. Quantitative remote sensing is currently the frontier field of remote sensing research and application, and it plays an increasingly important role ...

Claims

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Application Information

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IPC IPC(8): G06F17/50G06F17/15
CPCG06F17/15G06F2111/10G06F30/20
Inventor 丁安心焦子锑尹思阳
Owner BEIJING NORMAL UNIVERSITY
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