Pub Date : 2018-06-01DOI: 10.1109/GEOINFORMATICS.2018.8557178
W. Liu, R. Qin, Fulin Su, Kun Hu
Labeling remote sensing data for classification is costly and time-consuming in practical applications, while sufficient and representative labels are critical for achieving a high accuracy. Transfer learning emerges as an effective method for this issue by reusing samples from other domains. In this paper, we propose an unsupervised domain adaptation method which can align the marginal distribution and conditional distribution in source and target domain at the same time. Our method treats the importance of the marginal and conditional distribution discrepancies at different levels and maps the feature sets of source domain and target domain into Reproducing Kernel Hilbert Space (RKHS) to obtain similar feature sets. In particular, we apply the proposed method on the multi-modal remote sensing data including pixel-wise overlaid Orthophoto and Digital Surface Models (DSM). With experiments containing images of different cities with highly distinguishable land-cover patterns as source and target domain, we demonstrate that, as compared to several state-of-the-art domain adaptation (DA) algorithms, our method can achieve a satisfactory performance on the target domain by a simple statistical classifier trained only by samples in the source domain.
{"title":"An Unsupervised Domain Adaptation Method for Multi-Modal Remote Sensing Image Classification","authors":"W. Liu, R. Qin, Fulin Su, Kun Hu","doi":"10.1109/GEOINFORMATICS.2018.8557178","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2018.8557178","url":null,"abstract":"Labeling remote sensing data for classification is costly and time-consuming in practical applications, while sufficient and representative labels are critical for achieving a high accuracy. Transfer learning emerges as an effective method for this issue by reusing samples from other domains. In this paper, we propose an unsupervised domain adaptation method which can align the marginal distribution and conditional distribution in source and target domain at the same time. Our method treats the importance of the marginal and conditional distribution discrepancies at different levels and maps the feature sets of source domain and target domain into Reproducing Kernel Hilbert Space (RKHS) to obtain similar feature sets. In particular, we apply the proposed method on the multi-modal remote sensing data including pixel-wise overlaid Orthophoto and Digital Surface Models (DSM). With experiments containing images of different cities with highly distinguishable land-cover patterns as source and target domain, we demonstrate that, as compared to several state-of-the-art domain adaptation (DA) algorithms, our method can achieve a satisfactory performance on the target domain by a simple statistical classifier trained only by samples in the source domain.","PeriodicalId":142380,"journal":{"name":"2018 26th International Conference on Geoinformatics","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114858604","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-01DOI: 10.1109/GEOINFORMATICS.2018.8557095
Xinyi Zhao, Yingxia Pu
Migration, as a spatial and temporal process, has played a significant role in urbanization and regional population growth. Traditional gravity models can be used to explain the “push-pull” forces between origins and destinations, but fail to explore the substantive space-time dynamics of complex migration systems owing to their independence assumption among migration flows. By incorporating spacetime interactions into gravity models, this research constructs a spatial dynamic panel model of flows and applies it to interprovincial migration flows in China to explore the mechanisms driving dynamic and complex migratory processes. The origin, destination, and network effects of GDP and population size are derived to measure the impacts of regional characteristics on migration flows across space-time scales. The results indicate that population size dominates the interprovincial migration process, which is considerably enhanced by strong space-time dependence. In addition, the spillover effects of regional factors at the early stage are greater than their origin and destination effects. From the perspective of a complex system, simultaneous positive and negative feedback among migration flows help the entire migration system to stay in an equilibrium state. A spatial dynamic panel model contributes to understanding the spacetime dynamics implicit in the complex migration process.
{"title":"The Complex System of Interprovincial Migration Flows in China, 1985–2015","authors":"Xinyi Zhao, Yingxia Pu","doi":"10.1109/GEOINFORMATICS.2018.8557095","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2018.8557095","url":null,"abstract":"Migration, as a spatial and temporal process, has played a significant role in urbanization and regional population growth. Traditional gravity models can be used to explain the “push-pull” forces between origins and destinations, but fail to explore the substantive space-time dynamics of complex migration systems owing to their independence assumption among migration flows. By incorporating spacetime interactions into gravity models, this research constructs a spatial dynamic panel model of flows and applies it to interprovincial migration flows in China to explore the mechanisms driving dynamic and complex migratory processes. The origin, destination, and network effects of GDP and population size are derived to measure the impacts of regional characteristics on migration flows across space-time scales. The results indicate that population size dominates the interprovincial migration process, which is considerably enhanced by strong space-time dependence. In addition, the spillover effects of regional factors at the early stage are greater than their origin and destination effects. From the perspective of a complex system, simultaneous positive and negative feedback among migration flows help the entire migration system to stay in an equilibrium state. A spatial dynamic panel model contributes to understanding the spacetime dynamics implicit in the complex migration process.","PeriodicalId":142380,"journal":{"name":"2018 26th International Conference on Geoinformatics","volume":"328 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133378410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-01DOI: 10.1109/GEOINFORMATICS.2018.8557170
Zhenling, Zhengtao Shi, Wenfei Xi, Jie Li, Bin Su
This study, based on the experimental observation of small watershed, uses the GIS platform and the remote sensing data as the distributed hydrological model SWAT. It uses the measured data to simulate the rainfall runoff process in the small watershed of Zi Mu river. The results show that the runoff is more consistent and the model efficiency coefficient is 0.59 after the parameters are determined. The model can better simulate the rainfall runoff process in the study area. Through the determined sensitivity parameters, the sensitivity parameters of the rain season runoff in the study area were identified which will provide reference for the hydrological modeling of the N anxi river state.
{"title":"The Research Based on SWAT Model of Rainfall-Runoff Process Simulation in Zimu River in Nanxi River Basin","authors":"Zhenling, Zhengtao Shi, Wenfei Xi, Jie Li, Bin Su","doi":"10.1109/GEOINFORMATICS.2018.8557170","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2018.8557170","url":null,"abstract":"This study, based on the experimental observation of small watershed, uses the GIS platform and the remote sensing data as the distributed hydrological model SWAT. It uses the measured data to simulate the rainfall runoff process in the small watershed of Zi Mu river. The results show that the runoff is more consistent and the model efficiency coefficient is 0.59 after the parameters are determined. The model can better simulate the rainfall runoff process in the study area. Through the determined sensitivity parameters, the sensitivity parameters of the rain season runoff in the study area were identified which will provide reference for the hydrological modeling of the N anxi river state.","PeriodicalId":142380,"journal":{"name":"2018 26th International Conference on Geoinformatics","volume":"204 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126954614","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
We aim to analyze the temporal and spatial distribution characteristics of new cases of leprosy in Yunnan province during 2011 to 2016, and provide the basis for the prevention and control of regional leprosy. Based on the statistical data of new cases of leprosy in Yunnan province, which was provided by the center for disease control and prevention of Yunnan province, the temporal and spatial distribution characteristics of new cases were analyzed by the methods of exploratory data analysis and GIS spatial analysis. On the spatial scale of autonomous prefecture or prefectural-Level city, new cases are mainly concentrated in Wenshan, Honghe, Kunming and Pu-er. On the county scale, the distribution of new cases shows the characteristics of the small number of cases but widely distributed and the counties with a large number of cases are spatially adjacent. And on the time scale, the number of new cases showed a downward trend. During 2011 to 2016, the temporal and spatial distribution characteristics of new cases of leprosy in Yunnan province are typical, and targeted measures should be taken in the follow-up prevention and control.
{"title":"Analysis of the Temporal and Spatial Distribution of New Cases of Leprosy in Yunnan Province, 2011-2016","authors":"Feng-Zhi Wu, Jun He, Mai-Hong Zheng, Wen-Ying Hu, Hong-Chao Li, Li-Hui Zhuang, Guo-Xian Hu, Zhi-Kun Zhang","doi":"10.1109/GEOINFORMATICS.2018.8557087","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2018.8557087","url":null,"abstract":"We aim to analyze the temporal and spatial distribution characteristics of new cases of leprosy in Yunnan province during 2011 to 2016, and provide the basis for the prevention and control of regional leprosy. Based on the statistical data of new cases of leprosy in Yunnan province, which was provided by the center for disease control and prevention of Yunnan province, the temporal and spatial distribution characteristics of new cases were analyzed by the methods of exploratory data analysis and GIS spatial analysis. On the spatial scale of autonomous prefecture or prefectural-Level city, new cases are mainly concentrated in Wenshan, Honghe, Kunming and Pu-er. On the county scale, the distribution of new cases shows the characteristics of the small number of cases but widely distributed and the counties with a large number of cases are spatially adjacent. And on the time scale, the number of new cases showed a downward trend. During 2011 to 2016, the temporal and spatial distribution characteristics of new cases of leprosy in Yunnan province are typical, and targeted measures should be taken in the follow-up prevention and control.","PeriodicalId":142380,"journal":{"name":"2018 26th International Conference on Geoinformatics","volume":"173 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125796358","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-01DOI: 10.1109/GEOINFORMATICS.2018.8557048
Yingmei Wu, Meng Zhang, L. Hong, Xia Xian, Kun Yang
Lakeside cities in Plateau Lake Area are unique in the natural environment and ecological landscape. The rapid urbanization of Lakeside cities results in the urban heat island effect, thus impact the regional climate, ecological environment and social-economic development of plateau Lakeside cities. (1) The Landsat series of satellite remote sensing data of the past 30 years (1987–2017) in Dianchi basin is selected to retrieve brightness temperature, the land use/land cover and landscape metrics. (2) The spatial and temporal variation of heat island intensity over the past thirty years in Dianchi Lake Basin was analyzed. The result shows that the heat island is mostly concentrated in the high-density residential area, industrial area, developing land, building materials storage area and other areas. (3) The temporal-spatial correlation between land use/land cover and landscape pattern and heat island intensity in lakeside cities of the plateau was analyzed. The analysis shows that the land use/land cover and landscape pattern have a strong spatial-temporal correlation with the heat island intensity, the vegetation has an obvious cooling effect and building area has a warming effect. Urbanization undermines the characteristics of the original natural surface and causes the surface temperature change.
高原湖区湖滨城市具有独特的自然环境和生态景观。湖滨城市的快速城市化导致城市热岛效应，从而影响高原湖滨城市的区域气候、生态环境和社会经济发展。(1)选取滇池流域近30 a (1987-2017) Landsat系列卫星遥感数据，反演亮度温度、土地利用/土地覆被和景观指标。(2)分析了滇池流域近30年热岛强度的时空变化特征。结果表明:热岛主要集中在高密度居住区、工业区、开发用地、建材储存区等区域;(3)分析了高原湖滨城市土地利用/土地覆被与景观格局和热岛强度的时空相关性。分析表明，土地利用/土地覆被、景观格局与热岛强度具有较强的时空相关性，植被具有明显的降温效应，建筑面积具有明显的增温效应。城市化破坏了原始自然地表的特征，引起地表温度的变化。
{"title":"Temporal and Spatial Variation of Urban Heat Island Effect in Plateau Lake Region Based on RS — A 30-Year Case Study in Dianchi Basin","authors":"Yingmei Wu, Meng Zhang, L. Hong, Xia Xian, Kun Yang","doi":"10.1109/GEOINFORMATICS.2018.8557048","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2018.8557048","url":null,"abstract":"Lakeside cities in Plateau Lake Area are unique in the natural environment and ecological landscape. The rapid urbanization of Lakeside cities results in the urban heat island effect, thus impact the regional climate, ecological environment and social-economic development of plateau Lakeside cities. (1) The Landsat series of satellite remote sensing data of the past 30 years (1987–2017) in Dianchi basin is selected to retrieve brightness temperature, the land use/land cover and landscape metrics. (2) The spatial and temporal variation of heat island intensity over the past thirty years in Dianchi Lake Basin was analyzed. The result shows that the heat island is mostly concentrated in the high-density residential area, industrial area, developing land, building materials storage area and other areas. (3) The temporal-spatial correlation between land use/land cover and landscape pattern and heat island intensity in lakeside cities of the plateau was analyzed. The analysis shows that the land use/land cover and landscape pattern have a strong spatial-temporal correlation with the heat island intensity, the vegetation has an obvious cooling effect and building area has a warming effect. Urbanization undermines the characteristics of the original natural surface and causes the surface temperature change.","PeriodicalId":142380,"journal":{"name":"2018 26th International Conference on Geoinformatics","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126110291","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-01DOI: 10.1109/geoinformatics.2018.8557089
{"title":"Message from the Conference Co-Chairs","authors":"","doi":"10.1109/geoinformatics.2018.8557089","DOIUrl":"https://doi.org/10.1109/geoinformatics.2018.8557089","url":null,"abstract":"","PeriodicalId":142380,"journal":{"name":"2018 26th International Conference on Geoinformatics","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130047511","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-01DOI: 10.1109/GEOINFORMATICS.2018.8557065
Yilin Shi, Huabo Surr, Zilong Jiang, Binbin Lu
Ecosystem health is an important aspect for a country, dynamic but difficult to be evaluated. In this study, we designed a framework of indices to assess the ecosystem health and conduct a case study in Wuhan. The Geographically weighted regression technique is used to explore the spatially varying relationships between ecosystem health indices and associated factors. Results indicate that the ecosystem health condition of each subdistrict in Wuhan varies spatially, and surrounding areas are generally better than those subdistricts in the center. It is affected by different factors of distinctive degrees across the study area, like urbanization influenced the local ecosystem health more in city center than in suburb.
{"title":"Assessment and Spatially Varying Causes Exploration of Ecosystem Health: A Case Study of Wuhan, China","authors":"Yilin Shi, Huabo Surr, Zilong Jiang, Binbin Lu","doi":"10.1109/GEOINFORMATICS.2018.8557065","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2018.8557065","url":null,"abstract":"Ecosystem health is an important aspect for a country, dynamic but difficult to be evaluated. In this study, we designed a framework of indices to assess the ecosystem health and conduct a case study in Wuhan. The Geographically weighted regression technique is used to explore the spatially varying relationships between ecosystem health indices and associated factors. Results indicate that the ecosystem health condition of each subdistrict in Wuhan varies spatially, and surrounding areas are generally better than those subdistricts in the center. It is affected by different factors of distinctive degrees across the study area, like urbanization influenced the local ecosystem health more in city center than in suburb.","PeriodicalId":142380,"journal":{"name":"2018 26th International Conference on Geoinformatics","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130361181","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-01DOI: 10.1109/GEOINFORMATICS.2018.8557072
Jutao Jia, Caiyan Wu
The Land use is the concrete manifestation of the relationship between man and land, and it is the result of the comprehensive action of natural and human factors. This paper takes the upper reaches of Minjiang River as the research object, through obtaining MODIS MCD12Q1 data, combining with MRT and GIS software, using land use transfer matrix method, structural analysis method and dynamic degree analysis method, focuses on the three periods of 2001, 2009 and 2013. The results show that there is an increasing trend in the area of forests and waters, and the bare area is fuller utilized, this shows that during the study period, the land structure in the upper reaches of the Minjiang River has been optimized and land use changes have become more reasonable.
{"title":"Land Use Spatial-Temporal Change in the Upper Reaches of Minjiang River","authors":"Jutao Jia, Caiyan Wu","doi":"10.1109/GEOINFORMATICS.2018.8557072","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2018.8557072","url":null,"abstract":"The Land use is the concrete manifestation of the relationship between man and land, and it is the result of the comprehensive action of natural and human factors. This paper takes the upper reaches of Minjiang River as the research object, through obtaining MODIS MCD12Q1 data, combining with MRT and GIS software, using land use transfer matrix method, structural analysis method and dynamic degree analysis method, focuses on the three periods of 2001, 2009 and 2013. The results show that there is an increasing trend in the area of forests and waters, and the bare area is fuller utilized, this shows that during the study period, the land structure in the upper reaches of the Minjiang River has been optimized and land use changes have become more reasonable.","PeriodicalId":142380,"journal":{"name":"2018 26th International Conference on Geoinformatics","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130484425","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-01DOI: 10.1109/GEOINFORMATICS.2018.8557047
Tong Tong, Zhou Wei
The northwestern urban agglomeration is an important channel linking China with Central Asia, West Asia, and Europe. The coordinated development of northwest urban agglomerations and industrial clusters plays a decisive role in the construction of the Belt and Road. The study selected 4 key provinces in the western China: 37 prefecture-level cities in Shaanxi, Gansu, Ningxia, and Qinghai. Starting with the spatial relationship between the urban agglomerations of the northwest and the Silk Road Economic Belt, based on the location of Tencent Big data, we analyzed the degree of connection and the degree of centrality of urban groups in the northwest in the perspective of “spatial flow”. Based on the entropy method, this paper analyzed the clustering situation of industrial clusters within the urban agglomeration based on the second industry demographic data and established a coupling degree model of urban centrality and industrial clustering degree to analyze the coordination development situation between urban agglomerations and industrial clusters. The results suggest that the coordinated situation of urban clusters and industrial clusters in the northwest of China is in poor condition. To achieve coordinated development, it is necessary to continuously develop transport networks, enhance inter-city linkages, promote industrial division of labor, and give full play to the Silk Road strategy.
{"title":"Study on the Coupling Development of Urban Agglomerations and Industry Clusters in the Perspective of Spatial Flow-Take 4 Provinces in Western China as an Example","authors":"Tong Tong, Zhou Wei","doi":"10.1109/GEOINFORMATICS.2018.8557047","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2018.8557047","url":null,"abstract":"The northwestern urban agglomeration is an important channel linking China with Central Asia, West Asia, and Europe. The coordinated development of northwest urban agglomerations and industrial clusters plays a decisive role in the construction of the Belt and Road. The study selected 4 key provinces in the western China: 37 prefecture-level cities in Shaanxi, Gansu, Ningxia, and Qinghai. Starting with the spatial relationship between the urban agglomerations of the northwest and the Silk Road Economic Belt, based on the location of Tencent Big data, we analyzed the degree of connection and the degree of centrality of urban groups in the northwest in the perspective of “spatial flow”. Based on the entropy method, this paper analyzed the clustering situation of industrial clusters within the urban agglomeration based on the second industry demographic data and established a coupling degree model of urban centrality and industrial clustering degree to analyze the coordination development situation between urban agglomerations and industrial clusters. The results suggest that the coordinated situation of urban clusters and industrial clusters in the northwest of China is in poor condition. To achieve coordinated development, it is necessary to continuously develop transport networks, enhance inter-city linkages, promote industrial division of labor, and give full play to the Silk Road strategy.","PeriodicalId":142380,"journal":{"name":"2018 26th International Conference on Geoinformatics","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127650865","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-01DOI: 10.1109/GEOINFORMATICS.2018.8557130
Rui Yu, Yang Yang, Kun Yang
The amount of arable land in southern China is reduced due to land degradation and soil erosion. Arable land change by remote sensing technology is the most economical and efficient way to relieve the pressure of agricultural production. Therefore, we present a small unmanned aerial vehicle (U A V) based multi-viewpoint image registration method for extracting the information of arable changes in hills and mountains. Three major contributions of our method are included: (i) feature point sets were extracted by SURF; (ii) reliable correspondence was established by mixture-feature finite mixture model (MFMM); (iii) $Lz$-minimizing estimate $(L_{2}E)$ based energy function with double geometric constraints was used to estimate the transformation function. Compared with five state-of-the-art methods, our method shows better performances in most cases.
{"title":"Small UAV Based Multi-Viewpoint Image Registration for Extracting the Information of Cultivated Land in the Hills and Mountains","authors":"Rui Yu, Yang Yang, Kun Yang","doi":"10.1109/GEOINFORMATICS.2018.8557130","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2018.8557130","url":null,"abstract":"The amount of arable land in southern China is reduced due to land degradation and soil erosion. Arable land change by remote sensing technology is the most economical and efficient way to relieve the pressure of agricultural production. Therefore, we present a small unmanned aerial vehicle (U A V) based multi-viewpoint image registration method for extracting the information of arable changes in hills and mountains. Three major contributions of our method are included: (i) feature point sets were extracted by SURF; (ii) reliable correspondence was established by mixture-feature finite mixture model (MFMM); (iii) $Lz$-minimizing estimate $(L_{2}E)$ based energy function with double geometric constraints was used to estimate the transformation function. Compared with five state-of-the-art methods, our method shows better performances in most cases.","PeriodicalId":142380,"journal":{"name":"2018 26th International Conference on Geoinformatics","volume":"413 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120880728","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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