共查询到19条相似文献，搜索用时 140 毫秒
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多源遥感信息融合技术是突破单一传感器的观测局限,实现多平台多模态观测信息互补利用,生成大场景高“时-空-谱”无缝的观测数据的重要手段。随着人工智能理论与技术的日益完善,数据驱动的多源遥感信息融合获得了研究者的广泛青睐,然而,数据驱动算法与生俱来的低物理可解释性,弱泛化能力都阻碍了其在多源遥感信息融合领域的长远发展。因此,本文分别对同质遥感数据融合,异质遥感数据融合,以及点-面融合的有关研究成果进行了系统的梳理和归纳,分析了各融合问题的发展趋势。最后,对算法研究进展进行了总结,剖析了数据驱动的融合算法所面临的挑战,指出了未来多源遥感信息融合领域的研究方向。 相似文献
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遥感数据融合研究进展与文献定量分析(1992—2018) 总被引：1，自引：0，他引：1
近年来,遥感应用的快速发展推动了遥感载荷指标性能的不断提升。但由于遥感传感器的硬件技术瓶颈,遥感数据无法同时具有高空间分辨率、高光谱分辨率、高时间分辨率的指标特性。遥感数据融合是解决该问题的有效方法。为了深入了解目前遥感数据融合技术的研究进展情况,本文对国内外1992年—2018年间在该领域有一定影响力的相关成果进行了调研、分析与归纳总结。首先对遥感数据融合相关论文的年发文量、发文国家与机构、发表刊物以及关键词等进行了统计,梳理其发展历史及趋势;系统性的总结了各类数据融合算法,将其分为面向空间维提升的融合算法、面向光谱维提升的融合算法以及面向时间维提升的融合算法3类,并对各类算法的优势与适用性进行了分析;归纳总结了遥感数据融合的质量评价指标,包括有参考影像的融合评价指标以及无参考影像的融合评价指标;最后对遥感数据融合进展进行了总结与展望。 相似文献
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针对卫星导航系统和惯性导航系统(INS)的不同特性,提出了一种GPS/GLONASS/INS数据融合算法。采用差分自适应检测算法、改进码平均相位算法以及位置联合解算方法实现了GPS/GLONASS数据融合,借助于改进的粒子滤波器、INS误差模型建立系统状态方程和观测方程,完成GPS/GLONASS系统速度值和INS系统速度值数据融合,提高组合导航系统精度和可靠性。使用真实数据对数据融合算法性能进行仿真分析,结果表明所设计算法是有效的,能够处理非线性非高斯条件下的滤波估计,提高滤波精度和系统可靠性。 相似文献
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针对地面监测中水准和InSAR数据的优缺点,提出了沉降数据融合算法以及插值计算方法。采用数据融合方法对水准和InSAR进行融合,较好地解决了水准监测数据的时空分辨率低和InSAR数据中部分地区失相干的弊端,使融合后的数据能更好地描述地面沉降的现状,为更好地预测地面沉降的发展趋势,减少沉降灾害对经济社会的危害。天津地区融合算例表明,所提算法较好地解决了单一数据的缺点,融合后的数据拥有了多数据的优点,对后期地面沉降预测提供准确丰富的数据基础。 相似文献
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目前行人航迹推算逐渐成为室内定位研究与应用的热点。针对利用陀螺仪推算行人航向时存在较大累积误差的问题,本文提出了一种基于智能手机传感器的行人航向解算算法。该算法根据陀螺仪输出的角速度数据与手机传感器参数计算合适的阈值,实时调节PI调节器的误差补偿系数,对预处理后加速度计和磁力计数据解算的航向角进行补偿,并与陀螺仪数据互补滤波融合,得到融合后的航向角。试验基于低成本智能手机,分别在磁场强弱环境下采集手机传感器数据,对比分析本文算法与传统互补滤波算法及九轴数据融合算法在推算行人航向时的精度。试验结果表明,在室内磁干扰较强的环境下,本文算法与传统互补滤波算法、九轴数据融合算法相比定位精度分别提升了68.4%和65.9%,平均航向误差分别减小了3.4°和1.8°,验证了本文算法有较好的抗磁干扰性能,提高了行人航向角解算的可靠性。 相似文献
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复杂环境下智能手机RTK+PDR融合定位 总被引：1，自引：0，他引：1
针对室外复杂环境下智能手机定位精度低、抗干扰能力不足的问题,本文利用手机GNSS观测值和手机内置IMU数据,采用RTK和PDR算法融合定位,对比分析了小米8和华为Mate20X两款手机的GNSS数据质量和融合定位算法性能,以及不同观测条件下融合算法的定位精度和稳定性。试验结果表明,在良好和复杂两种观测条件下,采用RTK算法定位精度分别为1.8 m和4.6 m;采用RTK+PDR融合算法定位精度分别为1.2 m和2.6 m,在两种环境下,RTK+PDR融合算法的精度分别提高了50%和76%,即显著提高了智能手机在室外复杂环境下的定位精度。 相似文献
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针对如何在时间序列尺度上利用多源时空融合方法高精度地重构高分辨率遥感影像的问题,该文提出了一种基于增强字典学习样本空间的单数据对稀疏学习融合算法,并利用现有稀疏学习算法、STARFM算法以及半物理模型对Landsat与MODIS卫星数据进行双向融合实验。结果表明:随着样本尺寸及空间的拓展,改进后的稀疏学习算法能够获得比原始算法、STARFM、半物理模型等算法更优的融合结果,其中ERGAS可达15.0以内、SSIM可达84%以上,并且融合质量对高、低分辨率图像间的空间尺度差异性不敏感。通过采用更高效的在线字典学习算法,该融合方法的处理效率与应用价值有望得到极大提升。 相似文献
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Since the Selective Availability was turned off, the velocity and acceleration can be determined accurately with a single GPS receiver using raw Doppler measurements. The carrier-phase-derived Doppler measurements are normally used to determine velocity and acceleration when there is no direct output of the raw Doppler observations in GPS receivers. Due to GPS receiver clock drifts, however, a GPS receiver clock jump occurs when the GPS receiver clock resets itself (typically with 1 ms increment/decrement) to synchronize with the GPS time. The clock jump affects the corresponding relationship between measurements and their time tags, which results in non-equidistant measurement sampling in time or incorrect time tags. This in turn affects velocity and acceleration determined for a GPS receiver by the conventional method which needs equidistant carrier phases to construct the derived Doppler measurements. To overcome this problem, an improved method that takes into account, GPS receiver clock jumps are devised to generate non-equidistant-derived Doppler observations based on non-equidistant carrier phases. Test results for static and kinematic receivers, which are obtained by using the conventional method without reconstructing the equidistant continuous carrier phases, show that receiver velocity and acceleration suffered significantly from clock jumps. An airborne kinematic experiment shows that the greatest impact on velocity and acceleration reaches up to 0.2 m/s, 0.1 m/s2 for the horizontal component and 0.5 m/s, 0.25 m/s2 for the vertical component. Therefore, it can be demonstrated that velocity and acceleration measurements by using a standalone GPS receiver can be immune to the influence of GPS receiver clock jumps with the proposed method. 相似文献
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分析了利用中心差分法进行GPS定速时的主要误差来源,证明了当数据采样率一定时,增加中心差分法的点数可减少微分过程中的截断误差,但同时会放大导出相位率的观测误差,得出中心差分法的最佳点数应使这两种误差之和最小的结论。实验结果表明,当数据采样间隔为1s、载体平均速度和加速度为20m.s-1和0.2m.s-2时,9个点的中心差分法定速精度最高。 相似文献
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方便地获取高精度、高可靠的轨迹数据是交通、旅游等行业智能化发展的关键。鉴于此,本文设计一款集GPS、SINS和OBD于一体的多源车载组合导航系统来收集轨迹数据,提出数据融合的方法来弥补因传感器噪声导致的位置累积误差,并在GPS失锁时有效预测轨迹位置信息。此方法通过梯度提升与决策树相结合建立INS误差补偿模型,并引用粒子群算法优化模型的回归参数,可有效避免误差积累;再利用联邦滤波器实现GPS、SINS和OBD数据融合,提高了轨迹信息的准确性。实际道路测试证明,基于此方法的组合导航系统,在多种路况下可收集连续精准的轨迹数据。 相似文献
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实现了BDS/GPS/GLONASS三系统组合RTK定位算法,介绍了BDS/GPS/GLONASS三系统组合RTK数学模型,解决了多模融合导航定位时空基准统一问题,并针对附加模糊度参数的卡尔曼滤波函数模型,提出了一种确定实时动态定位中卡尔曼滤波参数的方法。编制了BDS/GPS/GLONASS RTK定位程序,并对28 m超短基线及31 km短基线实测数据进行了解算。对比分析了BDS、GPS、GLONASS、BDS/GPS、BDS/GLONASS、GPS/GLONASS、BDS/GPS/GLONASS七种模式下的定位结果。 相似文献
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EVA: GPS-based extended velocity and acceleration determination 总被引：1，自引：0，他引：1
Dagoberto Salazar Manuel Hernandez-Pajares Jose Miguel Juan-Zornoza Jaume Sanz-Subirana Angela Aragon-Angel 《Journal of Geodesy》2011,85(6):329-340
In this work, a new GPS carrier phase-based velocity and acceleration determination method is presented that extends the effective
range of previous techniques. The method is named ‘EVA’, and may find applications in fields such as airborne gravimetry when
rough terrain or water bodies make difficult or impractical to set up nearby GPS reference receivers. The EVA method is similar
to methods such as Kennedy (Precise acceleration determination from carrier phase measurements. In: Proceedings of the 15th
international technical meeting of the satellite division of the Institute of Navigation. ION GPS 2002, Portland pp 962–972,
2002b) since it uses L1 carrier phase observables for velocity and acceleration determination. However, it introduces a wide network
of stations and it is independent of precise clock information because it estimates satellite clock drifts and drift rates
‘on-the-fly’, requiring only orbit data of sufficient quality. Moreover, with EVA the solution rate is only limited by data
rate, and not by the available precise satellite clocks data rate. The results obtained are more robust for long baselines
than the results obtained with the reference Kennedy method. An advantage of being independent of precise clock information
is that, beside IGS Final products, also the Rapid, Ultra-Rapid (observed) and Ultra-Rapid (predicted) products may be used.
Moreover, the EVA technique may also use the undifferenced ionosphere-free carrier phase combination (LC), overcoming baseline
limitations in cases where ionosphere gradients may be an issue and very low biases are required. During the development of
this work, some problems were found in the velocity estimation process of the Kennedy method. The sources of the problems
were identified, and an improved version of the Kennedy method was used for this research work. An experiment was performed
using a light aircraft flying over the Pyrenees, showing that both EVA and the improved Kennedy methods are able to cope with
the dynamics of mountainous flight. A RTK-derived solution was also generated, and when comparing the three methods to a known
zero-velocity reference the results yielded similar performance. The EVA and the improved-Kennedy methods outperformed the
RTK solutions, and the EVA method provided the best results in this experiment. Finally, both the improved version of the
Kennedy method and the EVA method were applied to a network in equatorial South America with baselines of more than 1,770 km,
and during local noon. Under this tough scenario, the EVA method showed a clear advantage for all components of velocity and
acceleration, yielding better and more robust results. 相似文献
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车辆导航已成为交通领域一个研究热点。利用GPS导航系统可以获取良好的导航定位精度,但是GPS信号在城市大密度的建筑群中容易被遮挡,从而影响车辆导航过程。而DR系统虽能持续地提供服务,但是其精度随时间变差,从而无法取得良好效果。利用切比雪夫拟合方法,在GPS卫星信号失锁情况下,对DR数据进行拟合处理,并把处理结果与未失锁情况下的GPS导航数据进行比较,验证切比雪夫拟合效果。 相似文献
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GPS单点测速的误差分析及精度评价 总被引：6，自引：0，他引：6
首先从理论和实测数据模拟两方面分析了SA取消后各类误差源对GPS测速的影响,推导并计算了GPS单点测速可能达到的精度水平。然后用静态数据模拟动态测速试验和实测动态数据测速与同步高精度惯导测速的动态试验进行验证。结果表明,采用载波相位导出的多普勒观测值使用静态数据模拟动态测速,其精度可以达到mm/s级;用接收机输出的多普勒观测值进行测速时,其精度为cm/s级。在动态测速试验中,GPS单点测速方法（即多普勒观测值测速与导出多普勒观测值测速）间的符合精度达到cm/s级,与高精度的惯导测速结果的符合精度为dm/s级,而且和运动载体的动态条件（如加速度和加速度变化率的大小）具有很强的相关性。 相似文献
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Some GPS points were set up and occupied and reoccupied along the traverse route from Zhongshan Station to Dome-A.The result analysis for the GPS data processed by GAMIT/GLOBK package was presented in this paper.It was indicated that the ice along the traverse route flowed with an 8-25 m/a velocity to the northwest in the last three years,which was the direction of the edge of the ice sheet.The maximum horizontal flow velocity is about 100 m/a.Moreove,due to the ice flow,a 0.2-1 m/a sedimentation rate is achieved.finally,a 1-5m/a^2 horizontal acceleration is achieved from the GPS data of the three different stages. 相似文献