针对当前铁路地理环境风险监测工作中风险隐患排查过于依赖人工、监测手段单一,以及隐患台账管理方式落后等问题,设计了铁路地理环境监测信息系统。基于卫星遥感影像天地图,通过风险隐患分析技术、风险隐患的临近里程点分析及风险等级...针对当前铁路地理环境风险监测工作中风险隐患排查过于依赖人工、监测手段单一,以及隐患台账管理方式落后等问题,设计了铁路地理环境监测信息系统。基于卫星遥感影像天地图,通过风险隐患分析技术、风险隐患的临近里程点分析及风险等级评定算法,从卫星遥感影像中获取铁路周边潜在的风险隐患;基于多源异构铁路时空数据汇聚融合技术,实现了无人机视频、三维全景影像和相关资产数据的汇集入库;利用地理信息系统(GIS,Geographic Information System)技术进行铁路内外部数据的图层制作、发布和数据上图。该系统已在中国铁路南宁局集团有限公司得到应用,实现以信息化手段多维度分析隐患、全方位监测环境,可为地理环境监测工作提供技术支撑。展开更多
On the basis of a thorough understanding of the physical characteristics of remote sensing image, this paper employs the theories of wavelet transform and signal sampling to develop a new image fusion algorithm. The a...On the basis of a thorough understanding of the physical characteristics of remote sensing image, this paper employs the theories of wavelet transform and signal sampling to develop a new image fusion algorithm. The algorithm has been successfully applied to the image fusion of SPOT PAN and TM of Guangdong province, China. The experimental results show that a perfect image fusion can be built up by using the image analytical solution and re-construction in the image frequency domain based on the physical characteristics of the image formation. The method has demonstrated that the results of the image fusion do not change spectral characteristics of the original image.展开更多
Fusing satellite(remote sensing)images is an interesting topic in processing satellite images.The result image is achieved through fusing information from spectral and panchromatic images for sharpening.In this paper,...Fusing satellite(remote sensing)images is an interesting topic in processing satellite images.The result image is achieved through fusing information from spectral and panchromatic images for sharpening.In this paper,a new algorithm based on based the Artificial bee colony(ABC)algorithm with peak signalto-noise ratio(PSNR)index optimization is proposed to fusing remote sensing images in this paper.Firstly,Wavelet transform is used to split the input images into components over the high and low frequency domains.Then,two fusing rules are used for obtaining the fused images.The first rule is“the high frequency components are fused by using the average values”.The second rule is“the low frequency components are fused by using the combining rule with parameter”.The parameter for fusing the low frequency components is defined by using ABC algorithm,an algorithm based on PSNR index optimization.The experimental results on different input images show that the proposed algorithm is better than some recent methods.展开更多
文摘针对当前铁路地理环境风险监测工作中风险隐患排查过于依赖人工、监测手段单一,以及隐患台账管理方式落后等问题,设计了铁路地理环境监测信息系统。基于卫星遥感影像天地图,通过风险隐患分析技术、风险隐患的临近里程点分析及风险等级评定算法,从卫星遥感影像中获取铁路周边潜在的风险隐患;基于多源异构铁路时空数据汇聚融合技术,实现了无人机视频、三维全景影像和相关资产数据的汇集入库;利用地理信息系统(GIS,Geographic Information System)技术进行铁路内外部数据的图层制作、发布和数据上图。该系统已在中国铁路南宁局集团有限公司得到应用,实现以信息化手段多维度分析隐患、全方位监测环境,可为地理环境监测工作提供技术支撑。
基金ProjectsupportedbytheNationalNaturalScienceFoundationofChina (No .40 0 2 30 0 4 ) .
文摘On the basis of a thorough understanding of the physical characteristics of remote sensing image, this paper employs the theories of wavelet transform and signal sampling to develop a new image fusion algorithm. The algorithm has been successfully applied to the image fusion of SPOT PAN and TM of Guangdong province, China. The experimental results show that a perfect image fusion can be built up by using the image analytical solution and re-construction in the image frequency domain based on the physical characteristics of the image formation. The method has demonstrated that the results of the image fusion do not change spectral characteristics of the original image.
文摘Fusing satellite(remote sensing)images is an interesting topic in processing satellite images.The result image is achieved through fusing information from spectral and panchromatic images for sharpening.In this paper,a new algorithm based on based the Artificial bee colony(ABC)algorithm with peak signalto-noise ratio(PSNR)index optimization is proposed to fusing remote sensing images in this paper.Firstly,Wavelet transform is used to split the input images into components over the high and low frequency domains.Then,two fusing rules are used for obtaining the fused images.The first rule is“the high frequency components are fused by using the average values”.The second rule is“the low frequency components are fused by using the combining rule with parameter”.The parameter for fusing the low frequency components is defined by using ABC algorithm,an algorithm based on PSNR index optimization.The experimental results on different input images show that the proposed algorithm is better than some recent methods.
