For the purpose of identifying the stern of the SWATH （Small Waterplane Area Twin Hull） availably and perfecting the detection technique of the SWATH ship＇s performance, this paper presents a novel bidirectional im...For the purpose of identifying the stern of the SWATH （Small Waterplane Area Twin Hull） availably and perfecting the detection technique of the SWATH ship＇s performance, this paper presents a novel bidirectional image registration strategy and mosaicing technique based on the scale invariant feature transform （SIFT） algorithm. The proposed method can help us observe the stern with a great visual angle for analyzing the performance of the control fins of the SWATH. SIFT is one of the most effective local features of the scale, rotation and illumination invariant. However, there are a few false match rates in this algorithm. In terms of underwater machine vision, only by acquiring an accurate match rate can we find an underwater robot rapidly and identify the location of the object. Therefore, firstly, the selection of the match ratio principle is put forward in this paper; secondly, some advantages of the bidirectional registration algorithm are concluded by analyzing the characteristics of the unidirectional matching method. Finally, an automatic underwater image splicing method is proposed on the basis of fixed dimension, and then the edge of the image＇s overlapping section is merged by the principal components analysis algorithm. The experimental results achieve a better registration and smooth mosaicing effect, demonstrating that the proposed method is effective.展开更多
This paper uses an urbanized high-resolution land data assimilation system(u-HRLDAS) to parameterize the urban land surface characteristics.The u-HRLDAS model is localized and developed in order to satisfy the need of...This paper uses an urbanized high-resolution land data assimilation system(u-HRLDAS) to parameterize the urban land surface characteristics.The u-HRLDAS model is localized and developed in order to satisfy the need of the weather forecast in Beijing,China.The remote sensing data used to localize and drive u-HRLDAS include the soil type data and MODIS retrieved leaf area index(LAI) data.The evaporation and water depth for impervious surface in urban area are developed to improve the simulation of u-HRLDAS.The result of the urban weather forecast is used for the comparison based on the rapid update cycle system at Beijing Meteorological Bureau(BJ-RUC) without coupled with u-HRLDAS.The land surface temperature,land surface fluxes,and first layer soil moisture in several single sites and urban Beijing region by BJ-RUC are compared with u-HRLDAS after localization and development.The off-line simulation results indicate that compared with BJ-RUC,after the localization and development,u-HRLDAS can improve the simulation of land surface parameters and fluxes definitely.展开更多
基金Supported by the "Liaoning Baiqianwan" Talents Program(No.200718625)the Program of Scientific Research Project of Liao Ning Province Education Commission(No.LS2010046)the National Commonweal Industry Scientific Research Project(No.201003024)
文摘For the purpose of identifying the stern of the SWATH （Small Waterplane Area Twin Hull） availably and perfecting the detection technique of the SWATH ship＇s performance, this paper presents a novel bidirectional image registration strategy and mosaicing technique based on the scale invariant feature transform （SIFT） algorithm. The proposed method can help us observe the stern with a great visual angle for analyzing the performance of the control fins of the SWATH. SIFT is one of the most effective local features of the scale, rotation and illumination invariant. However, there are a few false match rates in this algorithm. In terms of underwater machine vision, only by acquiring an accurate match rate can we find an underwater robot rapidly and identify the location of the object. Therefore, firstly, the selection of the match ratio principle is put forward in this paper; secondly, some advantages of the bidirectional registration algorithm are concluded by analyzing the characteristics of the unidirectional matching method. Finally, an automatic underwater image splicing method is proposed on the basis of fixed dimension, and then the edge of the image＇s overlapping section is merged by the principal components analysis algorithm. The experimental results achieve a better registration and smooth mosaicing effect, demonstrating that the proposed method is effective.
基金supported by National Natural Science Foundation of China(Grant No. 41005056)Key Projects in the National Science & Technology Pillar Program during the Eleventh Five-Year Plan Period (GrantNo. 2008BAC37B04)
文摘This paper uses an urbanized high-resolution land data assimilation system(u-HRLDAS) to parameterize the urban land surface characteristics.The u-HRLDAS model is localized and developed in order to satisfy the need of the weather forecast in Beijing,China.The remote sensing data used to localize and drive u-HRLDAS include the soil type data and MODIS retrieved leaf area index(LAI) data.The evaporation and water depth for impervious surface in urban area are developed to improve the simulation of u-HRLDAS.The result of the urban weather forecast is used for the comparison based on the rapid update cycle system at Beijing Meteorological Bureau(BJ-RUC) without coupled with u-HRLDAS.The land surface temperature,land surface fluxes,and first layer soil moisture in several single sites and urban Beijing region by BJ-RUC are compared with u-HRLDAS after localization and development.The off-line simulation results indicate that compared with BJ-RUC,after the localization and development,u-HRLDAS can improve the simulation of land surface parameters and fluxes definitely.
