{"title":"Generation method of normal vector from disordered point cloud","authors":"De-hua Zheng, Jia Xu, Che Ren-xi","doi":"10.1109/URS.2009.5137560","DOIUrl":"https://doi.org/10.1109/URS.2009.5137560","url":null,"abstract":"The normal vector generation from point cloud plays a vital role in 3D laser scanning data processing. An effective generation method of normal vector from disordered point cloud is proposed in the paper. In the proposed method, disordered point cloud is firstly projected on the 2D plane via cylindrical surface. After establishing the triangle grids, the unit normal vector of each vertex is then calculated by searching the conjoint triangles that include this vertex. The normal calculation and direction determination of each conjoint triangle are relied on the connection relation among triangular grids and the corresponding mapping relation between the 2D and 3D coordinates of the same point. Software called Seagull2.0 is compiled to realize the generation of normal vector from disordered point cloud according to the proposed method. Two experiments are carried out on Confucius statue point cloud and industry model point cloud respectively. The results indicate that the determination of normal direction is correct and the generation method is reliable and easy to realize.","PeriodicalId":154334,"journal":{"name":"2009 Joint Urban Remote Sensing Event","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133726454","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 trajectory of urbanization process in the Yangtze River delta during 1990 to 2005","authors":"Yunfeng Hu, Y. Ban, Qian Zhang, Jiyuan Liu","doi":"10.1109/URS.2009.5137536","DOIUrl":"https://doi.org/10.1109/URS.2009.5137536","url":null,"abstract":"Rapid economic development, combined with tremendous population growth and migration from rural areas, has resulted in a dramatic urbanization in the Yangtze River Delta over the last three decades. In order to develop a more quantitative understanding of urbanization trajectory in the Yangtze Delta from the late 1980s to 2005, the time-series national land cover / land-use database (NLCD), interpreted from remote sensing imagery (including Landsat TM, ETM+ and CBERS), was examined from the aspects of spatial pattern and temporal process. The results showed that the urban land in the Yangtze River Delta has increased from 2.29×103 km2 in the late 1980s to 4.19×103 km2 in 2005. The percentages of total land area in the Yangtze Delta occupied by urban environments in the late 1980s, 1995, 2000 and 2005 were 2.09%, 3.03%, 3.28%, and 3.82% respectively. During the late 1980s – 2005, the total urban expansion in this region was 1.92×103 km2, resulting in an annual urban expansion area (UXa) of about 118.72 km2 per year, with an urban expansion intensity (UXr) of 83.03%. There were significant spatial trends and differences in urbanization level and urban expansion. Most urban land and urban expansion have occurred along the Huning Railway (Shanghai-Nanjing) and the Hanzhou Bay. This study also revealed substantial temporal differences in the rate at which urban areas have expanded. There was a great deal of urban growth in the late 1980s – 1995, and also in 2000 – 2005. The 1995 – 2000 period saw a slow expansion speed due to government initiatives designed to halt the loss of agricultural land. In this study, both patterns and dynamics of urban distribution and urban expansion were examined on temporal and spatial scales, and integrated to produce a comprehensive evaluation of recent urbanization trajectory in the Yangtze River Delta.","PeriodicalId":154334,"journal":{"name":"2009 Joint Urban Remote Sensing Event","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115597748","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}
Mei Yang, Shixin Wang, Yi Zhou, Litao Wang, Chuiqing Zeng
{"title":"Population spatialization in Gansu Province based on RS and GIS","authors":"Mei Yang, Shixin Wang, Yi Zhou, Litao Wang, Chuiqing Zeng","doi":"10.1109/URS.2009.5137641","DOIUrl":"https://doi.org/10.1109/URS.2009.5137641","url":null,"abstract":"Spatialized population data is much closer to actual circumstances than population distribution represented in administrative units. It is also crucial for analyzing the relationship among economic growth, environment protection, resource utilization, and other interdisciplinary study. Remote Sensing (RS) and Geographic Information System (GIS) are both effective research tools of spatializing census data of human population. The advance in population spatial distribution during the last several decades based on RS and GIS was briefly introduced at the beginning. Through multi-variable regression analysis with statistical population data and fourteen land use indices in county scale for Gansu Province in 2000, it was found that there was a strong relation between population distribution at administrative unit level and land use knowledge. Thus it would be reasonable to generate the population grid from land use grids for Gansu Province in 2000. The final output was a population map at a 1 km2 resolution for study area. Corresponding validation was carried out at last.","PeriodicalId":154334,"journal":{"name":"2009 Joint Urban Remote Sensing Event","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124159523","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 urban land cover change by updating the National Land Cover Database impervious surface products","authors":"G. Xian, C. Homer","doi":"10.1109/URS.2009.5137597","DOIUrl":"https://doi.org/10.1109/URS.2009.5137597","url":null,"abstract":"The U.S. Geological Survey (USGS) National Land Cover Database (NLCD) 2001 is widely used as a baseline for national land cover and impervious conditions. To ensure timely and relevant data, it is important to update this base to a more recent time period. A prototype method was developed to update the land cover and impervious surface by individual Landsat path and row. This method updates NLCD 2001 to a nominal date of 2006 by using both Landsat imagery and data from NLCD 2001 as the baseline. Pairs of Landsat scenes in the same season from both 2001 and 2006 were acquired according to satellite paths and rows and normalized to allow calculation of change vectors between the two dates. Conservative thresholds based on Anderson Level I land cover classes were used to segregate the change vectors and determine areas of change and no-change. Once change areas had been identified, impervious surface was estimated for areas of change by sampling from NLCD 2001 in unchanged areas. Methods were developed and tested across five Landsat path/row study sites that contain a variety of metropolitan areas. Results from the five study areas show that the vast majority of impervious surface changes associated with urban developments were accurately captured and updated. The approach optimizes mapping efficiency and can provide users a flexible method to generate updated impervious surface at national and regional scales.","PeriodicalId":154334,"journal":{"name":"2009 Joint Urban Remote Sensing Event","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114581151","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":"An ameliorative remote sensing image fusion method based on the second-generation Curvelet transform","authors":"Tao Jiang, Chao Chen","doi":"10.1109/URS.2009.5137513","DOIUrl":"https://doi.org/10.1109/URS.2009.5137513","url":null,"abstract":"This paper describes the significance of image fusion by way of the second-generation Curvelet transform. We put forward an ameliorative method, based on Curvelet transform, that demonstrates an advantage. In order to test the availability of the algorithm for the metropolitan area remote sensing image fusion, we compare with other general remote sensing image fusion methods, as well as traditional methods based on the second-generation Curvelet transform. Finally, we conclude from the test result image that it has better space structure and better light spectrum property, thanks to the use of the Curvelet transform.","PeriodicalId":154334,"journal":{"name":"2009 Joint Urban Remote Sensing Event","volume":"126 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114669398","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":"Study on spatio-temporal changes of land-use at arid oasis city based on remote sensing in 30 years","authors":"J. Bai, Liao Yang, Xi Chen, Zhi Pu","doi":"10.1109/URS.2009.5137727","DOIUrl":"https://doi.org/10.1109/URS.2009.5137727","url":null,"abstract":"Land-use changes of oases city in Xinjiang played a significant role in the ecological stability and economic development of the arid regions in the Central Asia. Urumqi was a typical oasis city of the temperate zone in the Northern Slope Economic Zone of Tianshan Mountain. Based on Landsat MSS of 1972, Landsat TM of 1990 and 2006, it got three periods of land-use data and six land-use types (cropland, forestland, grassland, water, urban land, and unused land) by object-based approach of land-use classification. Under the support of Geographic Information System (GIS), it calculated the transfer matrix of land-use from 1972 to 2006, analyzed the spatial-temporal characteristics of land-use changes, and explored the interaction between these changes and oasis environment in Urumqi. The result indicated that urban land dramatically increased by 281.89 km2; but unused land and cropland area relatively decreased by129.49 km2 and 169.31 km2, respectively. The area of water, forestland and grassland hadn't changed much during these years. In spatially, the expansion of urban land in Urumqi was in the northeast and northwest regions with limited to the Tianshan Mountains. These land-use changes had resulted in environmental problems in the arid regions (e.g. land degeneration, soil corrosion, water pollution and air pollution).","PeriodicalId":154334,"journal":{"name":"2009 Joint Urban Remote Sensing Event","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114952173","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":"Sub-pixel mapping of urban green space using multiple endmember spectral mixture analysis of EO-1 Hyperion data","authors":"Jie Lv, Xiangnan Liu","doi":"10.1109/URS.2009.5137517","DOIUrl":"https://doi.org/10.1109/URS.2009.5137517","url":null,"abstract":"Urban green space is an important biophysical component in assessing urban environment. Remote sensing technology offers an alternative method to traditional ground-based survey of these green spaces. However, accurate green space extraction is still a challenge due to the existence of mixed pixels. Tradional methods such as classification and NDVI for deriving green space are found to be inaccurate and unsatisfactory. Multiple endmember spectral mixture analysis (MESMA) models spectra as the linear sum of spectrally pure endmembers that vary on a per-pixel basis, which is a technique for identifying materials in a hyperspectral image using endmembers from a spectral library.","PeriodicalId":154334,"journal":{"name":"2009 Joint Urban Remote Sensing Event","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122053401","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 study for transformation development of resources-exhausted cities based on RS and GIS a case study of Fuxin City","authors":"Fan Qiang, Z. Yanan","doi":"10.1109/URS.2009.5137526","DOIUrl":"https://doi.org/10.1109/URS.2009.5137526","url":null,"abstract":"Presently, there are more than 50 cities in China which are confronting or will confront the problem of resources exhaustion. These cities with resources as mainstay industry are gradually falling into recession with a low economic growth. Their positioning for transformation is in urgent need of solutions. As new technology in surveying develops, it is necessary to take advantage of RS (Remote Sensing) and GIS (Geographic Information System) to analyze the space-time characteristics of the transformation cities, in order to enhance the quality, the science and rationality of decision-making in municipal development positioning. This article aims to provide a new approach for overcoming difficulties confronted by cities of the world. Data sources involved in the transition positioning study on resource-exhausted cities' development are outlined in the article. The article also focuses on introducing the new technology of remote sensing information resources and the applied research based on remote sensing to monitor the dynamics of urban development, and probes into a practical, operable way for resources-exhausted cities' transformation by using new technologies. At the same time, GIS technology applications have experienced an evolution from data storage management and search queries to the space-time analysis as the main body, being toward to a stage of development for support of the regional system of forecasting the evolution of spatial structure, dynamic simulation and optimization of the structure of space.","PeriodicalId":154334,"journal":{"name":"2009 Joint Urban Remote Sensing Event","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116835888","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}
L. Fang, Zhang Zeng-xiang, Qiao Zhuping, Wei Xianhu, W. Xiao
{"title":"Urban expansion and evolution prediction of Jinan city based on remote sensing and GIS technology","authors":"L. Fang, Zhang Zeng-xiang, Qiao Zhuping, Wei Xianhu, W. Xiao","doi":"10.1109/URS.2009.5137633","DOIUrl":"https://doi.org/10.1109/URS.2009.5137633","url":null,"abstract":"Urban expansion is a complex economic and social process and has been a hot topic not only in the management of sustainable development but also in the fields of remote sensing and geographic information science (GIS). Jinan is chosen to be the study area, as a fresh case, has not been systematically studied so far on the published literature especially its urban growth pattern and evolution prediction. Based on remote sensing and GIS technology, urban land of the year 1979, 1987, 1995, 2000, 2002, 2004 and 2008 are extracted from Multi-original remote sensing data ( Landsat MSS/ TM/ETM+, CBERS02B) and analyzed by GIS. Time scale of this research ranges from 1979 to 2008, and is divided into 6 periods (1979∼1987, 1987∼1995, 1995∼2000, 2000∼2002, 2002 ∼ 2004, 2004∼2008). (1) Firstly, preprocessing such as radiant calibration and geometry extract calibration was executed on the multisource remote sensing data. (2) Secondly, based on the software platform MGE and ArcGIS, urban land was extracted. (3) Thirdly, the spatial-temporal regulation and pattern characteristics of Jinan from the year 1979 to 2008 were quantitatively described in details by quoting indices such as urban expansion intensity, centroid, compact degree index etc. (4) Spatial expansion characteristics of Jinan were analyzed in different periods. (5) Urban expansion was predicted by using mode GM (1, 1). The systematic research of urban expansion pattern and evolution prediction in Jinan could be beneficial to local planning system.","PeriodicalId":154334,"journal":{"name":"2009 Joint Urban Remote Sensing Event","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126133554","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":"Coherent stacking with TerraSAR-X imagery in urban areas","authors":"N. Adam, Xiaoxiang Zhu, R. Bamler","doi":"10.1109/URS.2009.5137488","DOIUrl":"https://doi.org/10.1109/URS.2009.5137488","url":null,"abstract":"The German radar satellite TerraSAR-X was launched in June 2007. It is one of the first satellites to continuously provide space-borne high resolution radar imagery with a slant range resolution in the order of 0.6 m × 1.1 m for civil applications. The sensor, the mission design, the orbit concept, and the SAR processor (TMSP) perfectly support interferometric applications. Naturally, DLR's operational interferometric system GENESIS has been adapted to exploit the innovative high resolution data. Algorithm updates have been proven indispensable due to the more complicated spectral characteristic of the data introduced by the spotlight acquisition mode. Also, the high spatial resolution requires that radargrammetric effects, i.e. local parallaxes, be considered in interferometric processing.","PeriodicalId":154334,"journal":{"name":"2009 Joint Urban Remote Sensing Event","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124705766","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}