Application of Remote Sensing Image Data Scene Generation Method in Smart City

Remote sensing image simulation is a very effective method to verify the feasibility of sensor devices for ground observation. The key to remote sensing image application is that simultaneous interpreting of remote sensing images can make use of the different characteristics of different data, elimi...

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Main Author: Yuanjin Xu
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2021/6653841
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author Yuanjin Xu
author_facet Yuanjin Xu
author_sort Yuanjin Xu
collection DOAJ
description Remote sensing image simulation is a very effective method to verify the feasibility of sensor devices for ground observation. The key to remote sensing image application is that simultaneous interpreting of remote sensing images can make use of the different characteristics of different data, eliminate the redundancy and contradiction between different sensors, and improve the timeliness and reliability of remote sensing information extraction. The hotspots and difficulties in this direction are based on remote sensing image simulation of 3D scenes on the ground. Therefore, constructing the 3D scene model on the ground rapidly and accurately is the focus of current research. Because different scenes have different radiation characteristics, therefore, when using MATLAB to write a program generated by 3D scenes, 3D scenes must be saved as different text files according to different scene types, and then extension program of the scene is written to solve the defect that the calculation efficiency is not ideal due to the huge amount of data. This paper uses POV ray photon reverse tracking software to simulate the imaging process of remote sensing sensors, coordinate transformation is used to convert a triangle text file to POV ray readable information and input the RGB value of the base color based on the colorimetry principle, and the final 3D scene is visualized. This paper analyzes the thermal radiation characteristics of the scene and proves the rationality of the scene simulation. The experimental results show that introducing the chroma in the visualization of the scene model makes the whole scene have not only fidelity, but also radiation characteristics in shape and color. This is indispensable in existing 3D modeling and visualization studies. Compared with the complex radiation transmission method, using the multiple angle two-dimensional image generated by POV rays to analyze the radiation characteristics of the scene, the result is intuitive and easy to understand.
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institution Kabale University
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language English
publishDate 2021-01-01
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spelling doaj-art-9e82f59636e9428cb922c7c34e5d89b52025-02-03T06:08:08ZengWileyComplexity1076-27871099-05262021-01-01202110.1155/2021/66538416653841Application of Remote Sensing Image Data Scene Generation Method in Smart CityYuanjin Xu0Institute of Mathematical Geology and Remote Sensing Geology, School of Earth Resources, China University of Geosciences, 388 Lumo Road, Wuhan 430074, ChinaRemote sensing image simulation is a very effective method to verify the feasibility of sensor devices for ground observation. The key to remote sensing image application is that simultaneous interpreting of remote sensing images can make use of the different characteristics of different data, eliminate the redundancy and contradiction between different sensors, and improve the timeliness and reliability of remote sensing information extraction. The hotspots and difficulties in this direction are based on remote sensing image simulation of 3D scenes on the ground. Therefore, constructing the 3D scene model on the ground rapidly and accurately is the focus of current research. Because different scenes have different radiation characteristics, therefore, when using MATLAB to write a program generated by 3D scenes, 3D scenes must be saved as different text files according to different scene types, and then extension program of the scene is written to solve the defect that the calculation efficiency is not ideal due to the huge amount of data. This paper uses POV ray photon reverse tracking software to simulate the imaging process of remote sensing sensors, coordinate transformation is used to convert a triangle text file to POV ray readable information and input the RGB value of the base color based on the colorimetry principle, and the final 3D scene is visualized. This paper analyzes the thermal radiation characteristics of the scene and proves the rationality of the scene simulation. The experimental results show that introducing the chroma in the visualization of the scene model makes the whole scene have not only fidelity, but also radiation characteristics in shape and color. This is indispensable in existing 3D modeling and visualization studies. Compared with the complex radiation transmission method, using the multiple angle two-dimensional image generated by POV rays to analyze the radiation characteristics of the scene, the result is intuitive and easy to understand.http://dx.doi.org/10.1155/2021/6653841
spellingShingle Yuanjin Xu
Application of Remote Sensing Image Data Scene Generation Method in Smart City
Complexity
title Application of Remote Sensing Image Data Scene Generation Method in Smart City
title_full Application of Remote Sensing Image Data Scene Generation Method in Smart City
title_fullStr Application of Remote Sensing Image Data Scene Generation Method in Smart City
title_full_unstemmed Application of Remote Sensing Image Data Scene Generation Method in Smart City
title_short Application of Remote Sensing Image Data Scene Generation Method in Smart City
title_sort application of remote sensing image data scene generation method in smart city
url http://dx.doi.org/10.1155/2021/6653841
work_keys_str_mv AT yuanjinxu applicationofremotesensingimagedatascenegenerationmethodinsmartcity