{"title":"Modeling conversion of rural-urban land use based on cellular automa and genetic algorithm","authors":"Kai Cao, Shaowen Wang, Xia Li, Ran Chen","doi":"10.1109/GEOINFORMATICS.2011.5981029","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2011.5981029","url":null,"abstract":"Understanding the complexity of urban expansion requires the analysis of the factors influencing the spatial rural-urban land conversion. This study aims to develop and evaluate a cellular automata (CA) spatial model to assist in understanding land use change patterns. Specifically, our CA simulation model is utilized to explore the effects of various factors on rural-urban land use conversion, including for example population density, slope, and proximity to roads. In addition, a genetic algorithm is developed to calibrate the CA model with an optimization focus placed on simulation accuracy. The CA model is validated using land use data from 2000 to 2004 in Nanjing, China. It is demonstrated that our approach provides an effective calibration support for modeling conversion of rural-urban land use.","PeriodicalId":413886,"journal":{"name":"2011 19th International Conference on Geoinformatics","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130224549","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}
{"title":"3D Reconstruction of wear surface from scanning electron microscope combining digital speckle correlation method","authors":"Liwen Zhang, R. Wu, Danwen Zhang, Juan Sun","doi":"10.1109/GEOINFORMATICS.2011.5981088","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2011.5981088","url":null,"abstract":"A 3D reconstruction of scanning electron microscope (SEM) combining improved digital speckle correlation method (DSCM) was introduced into tool wear investigation. The 3D reconstruction was achieved from SEM stereo-pair by using photogrammetric surveying theory. An indentation with known 3D construction was used to validate the calculating results. The wear loss in tool wear test was calculated by comparing wear surface extracted from SEM stereo-pair to the reference surface which was obtained by fitting the wear surface using least square method. The techniques of energy dispersive X-ray spectroscopy (EDS) and texture mapping were also used in tool wear morphological analysis. The validating test results are well consistent with the principle of constant volume. It is concluded that the SEM 3D reconstruction is reliable on wear observation and shows great advantages in real engineering applications.","PeriodicalId":413886,"journal":{"name":"2011 19th International Conference on Geoinformatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131355326","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}
Ming Liao, Liangchen Zhou, G. Lv, Yan Cao, Huabing Li
{"title":"An efficient stereo displaying method of huge 3d scene","authors":"Ming Liao, Liangchen Zhou, G. Lv, Yan Cao, Huabing Li","doi":"10.1109/GEOINFORMATICS.2011.5980794","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2011.5980794","url":null,"abstract":"A novel stereo displaying method is presented in this paper. According to the basic stereovision principle, the relationship between binocular disparity and 3d scene depth is discussed with matrix algebra in detail. With computer graphics considered, the horizontal binocular disparity of spatial point is converted to pixel disparity on screen. Then a spatial range condition of stereovision is introduced properly, on which an efficient stereo displaying algorithm is designed. In a large scale 3d scene most of objects often fall beyond the valid stereovision range and only a small portion of the whole scene needs to be rendered into stereo image pair. Finally, an experiment is conducted with respect to a large 3d terrain. The result shows that our algorithm gains much more efficient than traditional ones and is valuable to stereo displaying of huge 3d scene.","PeriodicalId":413886,"journal":{"name":"2011 19th International Conference on Geoinformatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129172171","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}
{"title":"Agriculture risk assessment of typhoon disaster based on GIS and entropy weight theory: A case study of Fujian, China","authors":"Jinyu Ye, Mingfeng Zhang, Guangfa Lin, Shan Yu","doi":"10.1109/GEOINFORMATICS.2011.5980859","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2011.5980859","url":null,"abstract":"According to disaster system theory, the paper establishes the agriculture risk indicators system of typhoon disaster from four aspects: disaster-causing factors, hazard-formative environment, hazard-affected bodies and disaster resistant ability. It uses entropy weight theory based comprehensive evaluation to build the assessment model. Then, it implements the agriculture risk assessment of typhoon disaster in ArcGIS, and carries out the spatial distribution map of the agriculture risk of typhoon disaster for study area. The result shows that it can reflect the seriousness extent of the agriculture risk of typhoon disaster and its regional differences, which will prevent or reduce the agriculture production damage caused by typhoon, and provide decision support for the local management to formulate relief measures and agricultural disaster insurance policy.","PeriodicalId":413886,"journal":{"name":"2011 19th International Conference on Geoinformatics","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125348837","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}
{"title":"Environment Satellite HJ-1 CCD data dynamically monitoring cyanobacteria bloom in Lake Dianchi, China","authors":"Jiehua Zhang, Jian Chen","doi":"10.1109/GEOINFORMATICS.2011.5980778","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2011.5980778","url":null,"abstract":"Cyanobacteria bloom occurs constantly in recent years and seriously harms the environment of people's life. Lake Dianchi is a typical lake that has been subjected to severe eutrophication in recent years, especially in 2010. This article describes new-type, dynamic, high-quality images of Environment Satellite HJ-1 CCD applied to view cyanobacteria bloom of Lake Dianchi, ranging from November to December in 2010. One objective is to contrast the results from the methods of SIPI, RVI and NDVI to assess visual effects. Another is to improve RVI vegetation index model for better ordinal scale of cyanobacteria bloom. The results show that methods of SIPI, NDVI get better visual effects than RVI's and pseudocolor composition's images. This study also demonstrates that the improved RVI algorithm can stretch algae's information for better classification.","PeriodicalId":413886,"journal":{"name":"2011 19th International Conference on Geoinformatics","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123180825","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}
{"title":"Monitoring NPP changes in Changbai Mountain area, China with MODIS images","authors":"F. Huang, Xinjiu Qi, Shuangling Xu","doi":"10.1109/GEOINFORMATICS.2011.5980888","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2011.5980888","url":null,"abstract":"Net primary production (NPP) is the net carbon stored as new plant material in an ecosystem which supplies humans with various foods, fuels, fibres and construction materials. Accurately revealing the spatial patterns and temporal dynamics of NPP of terrestrial ecosystems is essential for understanding the carbon cycle of the terrestrial biosphere. Changbai Mountain area is the most important natural landscape remaining in China's temperate/boreal climate. The temporal and spatial features of vegetation productivity were analyzed from 2001 to 2006 based on the MOD17A3 data. Results showed that NPP of vegetation during past six years ranged from 300 to 450gC/ (m2• a), the average NPP was 404.94gC/ (m2• a). Annual NPP vegetation was on ascending trend during past six years. The impacts of land use/cover and climate changes on NPP were also discussed. Results will provide basic information on forest reservation and ecological security assessment in this mountain area.","PeriodicalId":413886,"journal":{"name":"2011 19th International Conference on Geoinformatics","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123291673","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}
{"title":"The simulation of land use type change in Erhai Basin based on agent based modeling","authors":"Kewei Chen, Yunliang Li, Yongmei Yang, Kun Yang","doi":"10.1109/GEOINFORMATICS.2011.5980907","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2011.5980907","url":null,"abstract":"Land is one of the important resources and material ensure mend for human being to survive and develop. The land resource is a fundamental element in the complex system of “population-resource-environment-development (PRED)”. By using ABM technology, based on Repast platform, establishes the decision-making model of the changes of land use type and classifies as three types of individual, company and government the groups of people who are most responsible for the changes of basin land use type. People move randomly and based on the decision-making model the changes of land use type takes place under the conditions of nature and society condition. we use the land use type of 2005 as the original land use type simulates the future changes of land use type in the Erhai Basin. Finally we bring forward some advice in how to develop the relevant policies concerning the sustainable land use in the Erhai Basin.","PeriodicalId":413886,"journal":{"name":"2011 19th International Conference on Geoinformatics","volume":"188 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123321278","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}
{"title":"A fuzzy decision method for direction relations based on spatial cognition","authors":"Di Chen, Chunhui Zhou, Xinyan Zhu","doi":"10.1109/GEOINFORMATICS.2011.5980741","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2011.5980741","url":null,"abstract":"Due to the vagueness of spatial direction relations and the limitation of current models, a fuzzy description model of direction relations based on adaptive sampling is presented. According to fuzzy theory, a new membership function is proposed as the reference model which is a basic fuzzy description model of 4 directions. And two objects are adaptively partitioned and sampled, thus the detailed fuzzy description of direction relations between two objects and the cardinal direction relations are obtained by calculating the direction relations between two sample point sets. At last, the validity of this model is verified by an illustration. Moreover, the direction relations between overlapping and contained region can also be effectively described using this model.","PeriodicalId":413886,"journal":{"name":"2011 19th International Conference on Geoinformatics","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126267343","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}
Guangming Zhao, S. Ye, Mao-sheng Gao, Xigui Ding, Hongming Yuan, Jin Wang
{"title":"Change analysis on eco-environment of the estuary wetland reserve area of Yellow River Delta based on RS and GIS","authors":"Guangming Zhao, S. Ye, Mao-sheng Gao, Xigui Ding, Hongming Yuan, Jin Wang","doi":"10.1109/GEOINFORMATICS.2011.5981074","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2011.5981074","url":null,"abstract":"Based on an analysis of three phases of remote sensing images (1996, 2000 and 2005), we found the eco-environment changes of the northern wetland reserve area of Yellow River Delta during the three years. The distance from the Yellow River and soil salinity are important factors to control the macro-distribution of wetland types in the estuary wetland reserve area. Both of the natural factors (such as Yellow River zero flow) and human activities (such as Yellow River water and sediment regulation project, wetland restoration projects, reed field development and the construction of a large number of farms) had big influence on the distribution of wetland types in the estuary wetland reserve area.","PeriodicalId":413886,"journal":{"name":"2011 19th International Conference on Geoinformatics","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122308158","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}
{"title":"Image fusion based on modulation method with resolution degradation and interpolation","authors":"Wanshou Jiang, Yuan Yan, Feng Zhang, Huixian Wang","doi":"10.1109/GEOINFORMATICS.2011.5980849","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2011.5980849","url":null,"abstract":"This paper aims at developing a fusion method based on SVR (Synthetic Variable Ratio) to preserve spatial details and spectral characteristics in image fusion processing, coupling several experiments are conducted for different kinds of sensors (ETM+, QuickBird), and fusion performance evaluation results show that this method is not related to sensor type, spectral region of images and number of multispectral bands, and is more effective than other traditional fusion method in several aspects.","PeriodicalId":413886,"journal":{"name":"2011 19th International Conference on Geoinformatics","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122312177","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}