针对空间异质性导致的道路几何纹理特征突出性下降问题,提出一种高分辨率遥感影像道路提取方法.首先设定跟踪模型,依据人工输入点,自适应提取道路中心点和道路宽度,设计迭代内插、双向迭代两种跟踪方式以及矩形跟踪模板;然后提出多描述...针对空间异质性导致的道路几何纹理特征突出性下降问题,提出一种高分辨率遥感影像道路提取方法.首先设定跟踪模型,依据人工输入点,自适应提取道路中心点和道路宽度,设计迭代内插、双向迭代两种跟踪方式以及矩形跟踪模板;然后提出多描述子道路匹配模型,针对道路几何纹理特征突出性不足问题,基于道路区域地物边缘与道路方向一致的语义关系,通过线段峰值约束的思想,提出一种多尺度线段方向直方图(Multi-scale line segment orientation histogram,MSLSOH)描述子,以此对跟踪方向进行预测;针对道路几何纹理特征均质性下降问题,从道路区域与道路非道路混合区域纹理差异性出发,组合三角形构成扇形描述子,突出道路影像纹理特征,以此不仅可对预测跟踪点进行验证,而且也可在结构信息缺失的情况下对道路进行跟踪;最后选取不同类型、不同分辨率、不同场景的高分辨率遥感影像,通过与其他方法的实验对比,表明该方法能够解决道路提取过程中几何纹理特征突出性下降问题,具有准确率高和自动化程度高的优势.展开更多
Oil and gas seismic exploration have to adopt irregular seismic acquisition due to the increasingly complex exploration conditions to adapt to complex geological conditions and environments.However,the irregular seism...Oil and gas seismic exploration have to adopt irregular seismic acquisition due to the increasingly complex exploration conditions to adapt to complex geological conditions and environments.However,the irregular seismic acquisition is accompanied by the lack of acquisition data,which requires high-precision regularization.The sparse signal feature in the transform domain in compressed sensing theory is used in this paper to recover the missing signal,involving sparse transform base optimization and threshold modeling.First,this paper analyzes and compares the effects of six sparse transformation bases on the reconstruction accuracy and efficiency of irregular seismic data and establishes the quantitative relationship between sparse transformation and reconstruction accuracy and efficiency.Second,an adaptive threshold modeling method based on sparse coefficient is provided to improve the reconstruction accuracy.Test results show that the method has good adaptability to different seismic data and sparse transform bases.The f-x domain reconstruction method of effective frequency samples is studied to address the problem of low computational efficiency.The parallel computing strategy of curvelet transform combined with OpenMP is further proposed,which substantially improves the computational efficiency under the premise of ensuring the reconstruction accuracy.Finally,the actual acquisition data are used to verify the proposed method.The results indicate that the proposed method strategy can solve the regularization problem of irregular seismic data in production and improve the imaging quality of the target layer economically and efficiently.展开更多
以河北省永清县设施茄子为研究对象,通过田间原位方法,设置不施氮(T0)、传统施氮(CK,纯氮557.70 kg hm-)2、优化施氮1(T1,传统施氮量水平下减少20%)、优化施氮1+NP(T2,NP为硝化抑制剂)和优化施氮2(T3,传统施氮量水平下减少30%)5个处理,...以河北省永清县设施茄子为研究对象,通过田间原位方法,设置不施氮(T0)、传统施氮(CK,纯氮557.70 kg hm-)2、优化施氮1(T1,传统施氮量水平下减少20%)、优化施氮1+NP(T2,NP为硝化抑制剂)和优化施氮2(T3,传统施氮量水平下减少30%)5个处理,研究不同施氮模式对设施茄子产量、果实品质及氮素气态损失(N2O、NH)3的影响。结果表明,T0处理茄子产量为6.39 t hm^-2,显著低于CK、T1和T2,但与T3差异不显著;T1和T2的茄子产量分别为11.01 t hm^-2和11.89 t hm^-2,与CK差异不显著,但产量呈现增加趋势;品质指标均未呈现显著差异;各处理N2O的排放速率均在施肥后1-2天出现高峰,基肥的排放高峰高于追肥,且随施氮量的减少而降低;除T0外,T2处理土壤N2O-N累积排放量最低,为2.82 kg hm^-2;T0、CK、T1、T2和T3的土壤NH3-N挥发损失量分别为2.15、8.25、6.92、7.96、6.47 kg hm^-2;CK、T1、T2和T3处理的氮素利用率分别为23.54%、25.57%、29.14和20.63%,未达显著水平。因此,在传统生产中减氮20%,并添加NP的施氮模式,既能稳产保质,又能降低N2O排放,对设施农田的减排增效与生态环境改善起到积极作用。展开更多
文摘针对空间异质性导致的道路几何纹理特征突出性下降问题,提出一种高分辨率遥感影像道路提取方法.首先设定跟踪模型,依据人工输入点,自适应提取道路中心点和道路宽度,设计迭代内插、双向迭代两种跟踪方式以及矩形跟踪模板;然后提出多描述子道路匹配模型,针对道路几何纹理特征突出性不足问题,基于道路区域地物边缘与道路方向一致的语义关系,通过线段峰值约束的思想,提出一种多尺度线段方向直方图(Multi-scale line segment orientation histogram,MSLSOH)描述子,以此对跟踪方向进行预测;针对道路几何纹理特征均质性下降问题,从道路区域与道路非道路混合区域纹理差异性出发,组合三角形构成扇形描述子,突出道路影像纹理特征,以此不仅可对预测跟踪点进行验证,而且也可在结构信息缺失的情况下对道路进行跟踪;最后选取不同类型、不同分辨率、不同场景的高分辨率遥感影像,通过与其他方法的实验对比,表明该方法能够解决道路提取过程中几何纹理特征突出性下降问题,具有准确率高和自动化程度高的优势.
基金supported by the National Science and Technology Major project(No.2016ZX05024001003)the Innovation Consortium Project of China Petroleum,and the Southwest Petroleum University(No.2020CX010201).
文摘Oil and gas seismic exploration have to adopt irregular seismic acquisition due to the increasingly complex exploration conditions to adapt to complex geological conditions and environments.However,the irregular seismic acquisition is accompanied by the lack of acquisition data,which requires high-precision regularization.The sparse signal feature in the transform domain in compressed sensing theory is used in this paper to recover the missing signal,involving sparse transform base optimization and threshold modeling.First,this paper analyzes and compares the effects of six sparse transformation bases on the reconstruction accuracy and efficiency of irregular seismic data and establishes the quantitative relationship between sparse transformation and reconstruction accuracy and efficiency.Second,an adaptive threshold modeling method based on sparse coefficient is provided to improve the reconstruction accuracy.Test results show that the method has good adaptability to different seismic data and sparse transform bases.The f-x domain reconstruction method of effective frequency samples is studied to address the problem of low computational efficiency.The parallel computing strategy of curvelet transform combined with OpenMP is further proposed,which substantially improves the computational efficiency under the premise of ensuring the reconstruction accuracy.Finally,the actual acquisition data are used to verify the proposed method.The results indicate that the proposed method strategy can solve the regularization problem of irregular seismic data in production and improve the imaging quality of the target layer economically and efficiently.
文摘以河北省永清县设施茄子为研究对象,通过田间原位方法,设置不施氮(T0)、传统施氮(CK,纯氮557.70 kg hm-)2、优化施氮1(T1,传统施氮量水平下减少20%)、优化施氮1+NP(T2,NP为硝化抑制剂)和优化施氮2(T3,传统施氮量水平下减少30%)5个处理,研究不同施氮模式对设施茄子产量、果实品质及氮素气态损失(N2O、NH)3的影响。结果表明,T0处理茄子产量为6.39 t hm^-2,显著低于CK、T1和T2,但与T3差异不显著;T1和T2的茄子产量分别为11.01 t hm^-2和11.89 t hm^-2,与CK差异不显著,但产量呈现增加趋势;品质指标均未呈现显著差异;各处理N2O的排放速率均在施肥后1-2天出现高峰,基肥的排放高峰高于追肥,且随施氮量的减少而降低;除T0外,T2处理土壤N2O-N累积排放量最低,为2.82 kg hm^-2;T0、CK、T1、T2和T3的土壤NH3-N挥发损失量分别为2.15、8.25、6.92、7.96、6.47 kg hm^-2;CK、T1、T2和T3处理的氮素利用率分别为23.54%、25.57%、29.14和20.63%,未达显著水平。因此,在传统生产中减氮20%,并添加NP的施氮模式,既能稳产保质,又能降低N2O排放,对设施农田的减排增效与生态环境改善起到积极作用。
