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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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2021/6653841 |
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| _version_ | 1832549953996587008 |
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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. |
| format | Article |
| id | doaj-art-9e82f59636e9428cb922c7c34e5d89b5 |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| 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 |