Evaluation Model of Land Use Spatial Equilibrium Based on Regional Collaborative Remote Sensing Observation

In order to improve the evaluation effect of the balance of land use space, this paper uses computer intelligence technology to assist land space observation and provide basic data for land space planning. Moreover, this paper analyzes the existing land space assessment algorithms, identifies the sh...

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Main Author: Lu Huang
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Advances in Multimedia
Online Access:http://dx.doi.org/10.1155/2022/2640455
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author Lu Huang
author_facet Lu Huang
author_sort Lu Huang
collection DOAJ
description In order to improve the evaluation effect of the balance of land use space, this paper uses computer intelligence technology to assist land space observation and provide basic data for land space planning. Moreover, this paper analyzes the existing land space assessment algorithms, identifies the shortcomings of the traditional algorithms, and improves the traditional methods by combining random forest classification and image texture features. In addition, this paper builds a regional collaborative remote sensing observation model based on the improved algorithm. Furthermore, after the system structure is constructed, the system performance is tested by the simulation method, and the system performance is verified by the experimental analysis method. Finally, the validity of the improved algorithm in this paper is also verified by simulation experiments, and the validity of the model in this paper is verified. The research shows that the method proposed in this paper has certain reliability.
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institution Kabale University
issn 1687-5699
language English
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spelling doaj-art-a75bcd45eda746b8a7d85def66a0d0182025-02-03T01:21:06ZengWileyAdvances in Multimedia1687-56992022-01-01202210.1155/2022/2640455Evaluation Model of Land Use Spatial Equilibrium Based on Regional Collaborative Remote Sensing ObservationLu Huang0Hainan Guoyuan Institute of Land and Mineral Survey Planning and DesignIn order to improve the evaluation effect of the balance of land use space, this paper uses computer intelligence technology to assist land space observation and provide basic data for land space planning. Moreover, this paper analyzes the existing land space assessment algorithms, identifies the shortcomings of the traditional algorithms, and improves the traditional methods by combining random forest classification and image texture features. In addition, this paper builds a regional collaborative remote sensing observation model based on the improved algorithm. Furthermore, after the system structure is constructed, the system performance is tested by the simulation method, and the system performance is verified by the experimental analysis method. Finally, the validity of the improved algorithm in this paper is also verified by simulation experiments, and the validity of the model in this paper is verified. The research shows that the method proposed in this paper has certain reliability.http://dx.doi.org/10.1155/2022/2640455
spellingShingle Lu Huang
Evaluation Model of Land Use Spatial Equilibrium Based on Regional Collaborative Remote Sensing Observation
Advances in Multimedia
title Evaluation Model of Land Use Spatial Equilibrium Based on Regional Collaborative Remote Sensing Observation
title_full Evaluation Model of Land Use Spatial Equilibrium Based on Regional Collaborative Remote Sensing Observation
title_fullStr Evaluation Model of Land Use Spatial Equilibrium Based on Regional Collaborative Remote Sensing Observation
title_full_unstemmed Evaluation Model of Land Use Spatial Equilibrium Based on Regional Collaborative Remote Sensing Observation
title_short Evaluation Model of Land Use Spatial Equilibrium Based on Regional Collaborative Remote Sensing Observation
title_sort evaluation model of land use spatial equilibrium based on regional collaborative remote sensing observation
url http://dx.doi.org/10.1155/2022/2640455
work_keys_str_mv AT luhuang evaluationmodeloflandusespatialequilibriumbasedonregionalcollaborativeremotesensingobservation