At semi-arid areas that dominant portion of required water for agriculture is provided by exploitation of groundwater,these resources encounter with more deterioration.Thus identifying of potential runoff generating s...At semi-arid areas that dominant portion of required water for agriculture is provided by exploitation of groundwater,these resources encounter with more deterioration.Thus identifying of potential runoff generating sites and estimation of runoff depth can be a significant step for storing runoff for agricultural activities and groundwater recharge.The main purposes of this study are use of GIS(geographic information system)ability for identifying of potential runoff generating sites,and thus identifying high priority areas for groundwater recharge in the Gharehchay River watershed in the north of Hamedan province,Iran.Potential runoff generating sites were identified by using watershed features same as slope,land use and hydrological soil groups.Afterward,CN I(Curve Number I)technique,which is one of the eight derivations of the NRCS-CN(natural resources conservation services curve number)method,was utilized to calculate rainfall-runoff depth in the study region.Finally,map layers were ranked in order of highest priority to lowest priority,based on the criteria of each dataset,and high priority areas for groundwater recharge were identified by integrating potential runoff map,runoff depth and depth to groundwater maps.Spatial analysis revealed that 51%of the study region has a high priority for groundwater recharge.展开更多
针对基于深度图像绘制技术(depth-image based rendering,DIBR)中产生的空洞问题,为提高虚拟视点质量,提出一种基于深度图像绘制技术的Criminisi改进算法。对优先级进行改进,加入指数形式的置信度项和新的数据项,加强对细节部分的填补;...针对基于深度图像绘制技术(depth-image based rendering,DIBR)中产生的空洞问题,为提高虚拟视点质量,提出一种基于深度图像绘制技术的Criminisi改进算法。对优先级进行改进,加入指数形式的置信度项和新的数据项,加强对细节部分的填补;在搜索最佳匹配块时,采用新的颜色匹配因子,添加梯度因子,结合深度因子,对映射后的纹理图和相对应的深度图进行搜索匹配。实验结果表明,相较传统空洞填补算法,改进算法在主观图像质量与客观峰值信噪比(peak signal to noise ratio,PSNR)方面有所提高。展开更多
文摘At semi-arid areas that dominant portion of required water for agriculture is provided by exploitation of groundwater,these resources encounter with more deterioration.Thus identifying of potential runoff generating sites and estimation of runoff depth can be a significant step for storing runoff for agricultural activities and groundwater recharge.The main purposes of this study are use of GIS(geographic information system)ability for identifying of potential runoff generating sites,and thus identifying high priority areas for groundwater recharge in the Gharehchay River watershed in the north of Hamedan province,Iran.Potential runoff generating sites were identified by using watershed features same as slope,land use and hydrological soil groups.Afterward,CN I(Curve Number I)technique,which is one of the eight derivations of the NRCS-CN(natural resources conservation services curve number)method,was utilized to calculate rainfall-runoff depth in the study region.Finally,map layers were ranked in order of highest priority to lowest priority,based on the criteria of each dataset,and high priority areas for groundwater recharge were identified by integrating potential runoff map,runoff depth and depth to groundwater maps.Spatial analysis revealed that 51%of the study region has a high priority for groundwater recharge.
文摘针对基于深度图像绘制技术(depth-image based rendering,DIBR)中产生的空洞问题,为提高虚拟视点质量,提出一种基于深度图像绘制技术的Criminisi改进算法。对优先级进行改进,加入指数形式的置信度项和新的数据项,加强对细节部分的填补;在搜索最佳匹配块时,采用新的颜色匹配因子,添加梯度因子,结合深度因子,对映射后的纹理图和相对应的深度图进行搜索匹配。实验结果表明,相较传统空洞填补算法,改进算法在主观图像质量与客观峰值信噪比(peak signal to noise ratio,PSNR)方面有所提高。
