Super-resolution enhancement of UAV images based on fractional calculus and POCS

Abstract

A super-resolution enhancement algorithm was proposed based on the combination of fractional calculus and Projection onto Convex Sets (POCS) for unmanned aerial vehicles (UAVs) images. The representative problems of UAV images including motion blur, fisheye effect distortion, overexposed, and so on can be improved by the proposed algorithm. The fractional calculus operator is used to enhance the high-resolution and low-resolution reference frames for POCS. The affine transformation parameters between low-resolution images and reference frame are calculated by Scale Invariant Feature Transform (SIFT) for matching. The point spread function of POCS is simulated by a fractional integral filter instead of Gaussian filter for more clarity of texture and detail. The objective indices and subjective effect are compared between the proposed and other methods. The experimental results indicate that the proposed method outperforms other algorithms in most cases, especially in the structure and detail clarity of the reconstructed images.     

Modelling coastal land use change by incorporating spatial autocorrelation into cellular automata models

This paper presents a spatial autoregressive (SAR) method-based cellular automata (termed SAR-CA) model to simulate coastal land use change, by incorporating spatial autocorrelation into transition rules. The model captures the spatial relationships between explained and explanatory variables and then integrates them into CA transition rules. A conventional CA model (LogCA) based on logistic regression (LR) was studied as a comparison. These two CA models were applied to simulate urban land use change of coastal regions in Ningbo of China from 2000 to 2015. Compared to the LR method, the SAR model yielded smaller accumulated residuals that showed a random distribution in fitting the CA transition rules. The better-fitting SAR model performed well in simulating urban land use change and scored an overall accuracy of 85.3%, improving on the LogCA model by 3.6%. Landscape metrics showed that the pattern generated by the SAR-CA model has less difference with the observed pattern.     

金川铜镍硫化物矿床中铂族矿物的主要类型和产出特征:热液蚀变过程中铂族元素的富集机理

金川铜镍硫化物矿床是我国最主要的铂族元素(PGE)资源产地,其矿石受热液蚀变作用影响明显,并产出多种铂族矿物(PGM)。岩浆演化和热液蚀变过程中PGE的迁移富集机制和PGM的成因,一直是研究PGE地球化学行为非常关注的问题。本文对金川铜镍硫化物矿床中PGM的研究发现,其主要类型包括含PGE的硫砷化物(硫砷铱矿)和砷化物(砷铂矿),Pd的铋化物、碲化物和硒化物,以及少量其他铂族矿物。其中,硫砷铱矿可包裹于各种贱金属硫化物(镍黄铁矿、磁黄铁矿和黄铜矿)中,表明硫砷铱矿可能结晶于早期的含As硫化物熔体,随后被包裹于硫化物熔体冷凝分异产生的单硫化物固溶体(MSS)和中间硫化物固溶体(ISS)中。硫化物熔体中的As可能主要通过地壳混染作用加入幔源岩浆。大量铋钯矿(PdBi)呈微细乳滴状包裹于黄铜矿中,为晚期ISS冷凝形成黄铜矿过程中出溶的产物。少量铋钯矿(PdBi_2)呈不规则状充填于矿物裂隙,与次生磁铁矿脉紧密共生,并随矿石的蚀变程度增加,铋钯矿的化学成分由PdBi逐渐向PdBi_2转变,表明这部分铋钯矿为后期热液蚀变产物。铋碲钯矿和钯的硒化物则主要产出于镍黄铁矿裂隙且与次生磁铁矿紧密共生,指示明显的热液成因。钯的硒化物的出现表明,岩浆期后酸性、高盐度、高氧逸度的富Cl~-流体对金川铜镍硫化物矿床中Pd的迁移和富集起到了关键控制作用。     

南秦岭柞水—山阳矿集区金铜矿床成矿规律与找矿方向

南秦岭柞水—山阳矿集区地质构造和岩浆活动强烈,矿床(点)成群成带分布,成矿条件良好。在长期找矿实践、成矿地质背景分析和典型矿床解剖的基础上,综合研究认为,区内金矿主要受EW向断裂或EW向韧-脆性剪切带与NE向张扭性叠加构造控制,寒武系水沟口组、泥盆系星红铺组与大枫沟组是金的赋矿地层。金矿体呈近EW向大致等间距展布,单个矿体在延伸方向呈透镜状、哑铃状、囊状等,具尖灭再现特征,构造叠加部位矿体厚大、品位较高。区内金矿床类型多为中-低温热液型、远成低温热液型,成矿时代为印支—燕山期。夏家店等已知金矿床深部及外围、区域断裂旁侧次级近EW向与NNE向断裂交汇部位、构造转折端、构造虚脱部位等是寻找金矿的有利靶区。铜矿分布于山阳—凤镇大断裂两侧,成矿类型以斑岩型-矽卡岩型为主,构造热液改造型、隐爆角砾岩型次之。斑岩型-矽卡岩型铜(钼)矿受燕山期构造-岩浆活动控制,赋存于燕山期斑岩体与围岩接触带内;矿体产状多受岩体与围岩接触面控制,呈似层状、透镜状产出。燕山期中酸性小岩体及其与围岩的接触部位、东西向三级断裂带附近是寻找铜(钼)矿的首选靶区。本次研究建立了柞水—山阳矿集区金铜矿床区域成矿模式,总结了找矿标志,通过成矿规律、成矿作用及物探、化探、遥感异常特征系统分析,认为区内找矿潜力巨大,并提出了3片金铜(钼)成矿远景区,指出下一步的找矿方向。     

东昆仑地区驼路沟钴(金)矿床硅质钠长岩锆石U-Pb定年及Hf同位素特征研究

东昆仑驼路沟钴(金)矿床是青海省发现的首个独立大型喷流沉积型矿床,说明容矿围岩为一套海相火山-沉积岩系。本文在野外调查的基础上,对该矿区短沟矿段YM1坑口的硅质钠长岩进行岩石学、LA-ICP-MS锆石UPb年代学及Hf同位素分析。结果表明,区内钠长岩的形成年龄为(457.3±4.6)Ma,佐证了该矿区喷流作用成岩与成矿的同时性;另外获得9.20~1.10 Ga和2.40~2.50 Ga的2个年龄集中区,说明了研究区基底演化和源区物质的复杂性。Hf同位素显示为两个集中区,其中年龄峰值422~459 Ma的锆石获得εHf(t)值为-0.61~12.72,表明锆石母岩主要为新生的地壳物质,指示硅质钠长岩的形成与海底火山喷发作用密切相关;另外0.85~1.10 Ga的锆石εHf(t)值为-15.09~-0.07,其锆石母岩中主要为再造的古老地壳,表明该区基底源区物质的复杂性。通过区域对比分析,认为驼路沟矿区含矿火山-沉积岩系形成时代与钠长岩年龄、成矿年龄非常接近,喷流沉积时代应为晚奥陶世。     

普朗斑岩型铜矿床成矿元素多重分形特征及其矿化强度指示

成矿元素品位的变化受控于长期地质作用过程,具有较强的非线性特征,定量刻画其变化特征有助于深入理解成矿过程,并为找矿预测提供理论依据。运用多重分形去趋势移动均值（MFDMA） 法,分析云南普朗斑岩型铜矿床4号勘探线钻孔Cu元素品位的多重分形特征及其对矿化强度的指示意义。结果显示：所有钻孔Cu元素品位具有多重分形特征,且不同矿化等级的元素分布存在局部奇异性差异,多重分形强度随矿化强度等级减弱而增加;这些特征指示在钾硅化带—带内侧强矿化钻孔的高品位相对聚集,而带外侧角岩化—青磐岩化带的高品位相对分散;通过数据随机重排技术推测Cu品位多重分形结构奇异性差异是由其分布概率密度和长相关性共同作用引起,后者的作用贡献大于前者。     

应用分布式存储技术优化省级CIMISS数据服务能力

随着气象数据量的不断增长,进一步提升CIMISS数据管理和服务能力的需求变得日益迫切。为解决存储系统动态扩展能力不足、并行计算与吞吐效率低下等限制CIMISS继续发展的问题,采用分布式文件系统和NAS技术替代GPFS建设共享文件系统,实现非结构化气象数据的存储功能;采用分布式数据库替代Oracle RAC建设关系数据库管理系统,实现结构化气象数据的存储功能和非结构化气象数据的索引功能。实践证明,该方案能够有效地改善CIMISS的数据存储能力、并发响应能力,适应未来气象业务对数据存储和应用的需求。     

汕头市PM2.5的气象要素影响分析及预报研究

利用2014—2017年汕头市PM_2.5的日浓度资料、以及汕头市国家基准气象观测站的同期地面气象资料,重点分析了汕头市PM_2.5浓度的变化特征以及风、混合层厚度、降水等气象条件对PM_2.5浓度的影响,同时探讨了污染物浓度变化的成因。在此基础上,根据汕头市的气候特点,采用BP （Back-Propagation）人工神经网络方法针对汛期和非汛期分别建立了PM_2.5质量浓度预报模型。结果表明：与多数内陆城市不同,汕头市PM_2.5浓度日变化为单峰型,这与汕头地处沿海受海陆风影响有关;PM_2.5浓度日峰值出现在08时左右,除早高峰污染物排放增加的因素外,与早晨时段的低风速环境有关;PM_2.5日均浓度随着风速的增大呈现减小趋势,PM_2.5日均浓度与08时混合层厚度显著相关（相关系数为-0.143）;汕头市非汛期PM_2.5浓度比汛期高,这与汕头市的亚热带季风气候特征有关,汛期各量级降水（暴雨以上除外）对PM_2.5的清除效果无明显差别,而非汛期降水对PM_2.5浓度有明显清除作用;BP人工神经网络模型的预报效果表明,汛期和非汛期的PM_2.5级别命中率TS分别为100%和90.3%,准确指数分别为87.7%和89.9%,总体预报效果良好。不同时期预报模型出现正误差的数量和程度均大于负误差,汛期预报模型在有强降水发生时误差较大,而非汛期预报模型在有冷空气入侵时误差较大。     

基于省区协调发展的GDP预测模型

基于柯布-道格拉斯生产函数与自回归移动平均模型(ARIMA)构建出一个GDP综合预测模型,并且考虑十九大全面建成小康社会与实现共同富裕的精神与国家关于技术、资本、劳动力等方面的区域平衡发展战略调整模型的参数,计算了2016—2050年中国分省的GDP总量与人均GDP,进一步通过计算省区间人均GDP的基尼系数来分析省区协调发展的水平。研究结果表明,在考虑省区协调发展时,各省区在2016—2050年间的GDP总量与人均GDP的差距逐渐缩小,省区间人均GDP的基尼系数将从2015年的0.219下降到2030年的0.176和2050年的0.137,未来区域间发展不均衡的态势在实现经济稳步增长同时可以得到缓解。     

An Operational Precipitable Water Vapor Retrieval Algorithm for Fengyun-2F/VISSR Using a Modified Three-Band Physical Split-Window Method

The Visible and Infrared Spin-Scan Radiometer(VISSR) onboard the Fengyun-2(FY-2) satellite can provide valuable thermal infrared observations to help create a precipitable water vapor(PWV) product with high spatial and temporal resolutions. The current FY-2/VISSR PWV product in operation is produced by using a traditional two-band physical split-window(PSW) method, which produces low quality results under dry atmospheric conditions. Based on the sensitivity characteristics of FY-2 F/VISSR water vapor channel and two split-window channels to atmospheric water vapor, this study developed a new, robust operational PWV retrieval algorithm for FY-2 F to improve the operational precision of the current PWV product. The algorithm uses a modified three-band PSW method, which adds a scale for the water vapor channel in the improved three-band PSW method. Integrated PWV products from the radiosonde data in 2016 are used here to validate the precision of the PWV retrieved by the modified three-band and traditional two-band PSW methods. The mean bias, root mean square error(RMSE), and correlation coefficient of the PWV retrieved by the modified three-band PSW method are 0.28 mm, 4.53 mm, and 0.969, respectively. The accuracy is much better than the PWV retrieved by the two-band method, whose mean bias, RMSE, and correlation coefficient are 12.67 mm, 29.35 mm, and 0.23. Especially, in mid-or high-latitude regions, the RMSE of the PWV is improved from 10 to 2 mm by changing the inversion in the two-band method to the modified three-band PSW method. Furthermore, the modified three-band PSW results show a better consistency with the radiosonde PWV at any zonal belt and season than the two-band PSW results. This new algorithm could significantly improve the quality of the current FY-2 F/VISSR PWV product, especially at sites where the actual PWV are lower than 15 mm.