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论述了RTK结合测深仪实现无验潮测深的原理和方法;对无验潮测深技术中影响水深测量成果精度的几个问题进行了分析探讨,并提出了实用可行的控制方法,减少水深测量过程中的累计误差以提高测量精度。 相似文献
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为解决传统的RTK无验潮水深测量方法存在的诸多不足,提出了利用精密单点定位技术应用于无验潮水深测量的作业方法。利用长江南京段测量数据,对比经精密单点定位技术得到的航基面与传统验潮站的水位,99.7%的测点水位偏差在20cm内,满足水深测量的精度要求。测试结果表明:基于精密单点定位技术的水深测量方法无需验潮,通过测定换能器的垂直综合动态效应,明显改善了测深精度,不仅其测深精度达到了行业标准的要求,而且有效解决了传统的无验潮水深测量方法受作业半径限制的不足。 相似文献
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《测绘与空间地理信息》2020,(7)
基于无人船测深技术,对上海市松江区淀浦河部分河段进行了水下地形纵横断面测量。断面测量利用测量型无人船获取水底高程,通过数据处理完成断面绘图。实验证明,无人船断面测量具有较高的效率与精度,主测线水深与检测线水深较差合格率达到98.2%,满足了行业规范要求;同时该项较差可满足偶然误差分布规律,表明无人船测量精度已得到有效控制,因此是一种高效率可靠的水下地形测绘方法。延迟误差是无人船测量的瓶颈,因此,施测前需采用适宜方法对此项误差进行有效改正。 相似文献
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简要介绍了利用GPS-RTK与测深技术测定水下地形的基本原理和水下地形测量的基本作业步骤,并通过工程实例说明无验潮和传统验潮两种模式下取得的水深测量数据均能满足相关规范要求。 相似文献
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阐述智能无人船搭载单波束测深系统在河湖库区水下地形测量中的应用，根据无人船单波束测深原理及水下地形测量技术流程，从测深水域范围确定、测线布设、测深数据处理与分析、水深数据精度检核、水下DEM生成等各个关键技术环节进行研究与分析。以山西省某水库为例，以较完善反映水底地形地貌的前提下，兼顾测量效率和成本，确定最佳技术路线和方案，为从事水下测量作业的工作者提供参考。 相似文献
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随着科学技术的不断发展,人们对水下地形测量的精度需求越来越高.无人船搭载单波束测深仪通过集成计算机与测量设备实施水下地形测量,已逐渐成为内陆浅水区域水下测量的主要技术手段.本文通过与传统水下测量模式进行对比,分析GPS-RTK在无验潮模式下进行水下测量的原理及优势,并对其可靠性进行了验证,阐述了如何更加有效地将无人船测量技术应用到实际生产当中. 相似文献
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机载激光测深海面扫描轨迹计算与分析 总被引：1，自引：0，他引：1
介绍了机载激光测控技术的椭圆扫描原理，推导出在椭圆扫描方式下计算激光海面扫描轨迹的数学模型，并进行了编程模拟运算，绘图和扫描特征分析。 相似文献
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介绍多波束测深系统的构成、工作原理、作业方法,以及RTK三维水深测量技术的理论依据,通过在渤海湾航道水深测量的工作实践,证明使用多波束系统结合RTK三维水深测量技术联合作业,可以得到令人满意的测量精度。 相似文献
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风速风向对SAR浅海水下地形成像影响的仿真研究 总被引：1，自引：0，他引：1
基于SAR浅海水下地形成像机理和M4S海面微波成像程序,建立了SAR浅海水下地形成像仿真模型,改进了传统浅海水下地形成像仿真模型的缺陷.通过仿真研究和分析浅海水下地形SAR图像特征实例,对风速风向与浅海水下地形SAR图像特征的关系提出了新的认识.低风速条件下,浅海水下地形SAR海面后向散射强度整体偏暗,高风速下整体偏亮;sAR图像条带亮暗的程度与风速有一定的关系,但不是主要的影响因素.风向对SAR浅海水下地形成像的影响明显,表现为,在逆风和顺风情况下,浅海水下地形SAR海面后向散射强度整体偏亮,SAR图像分别以亮条带和暗条带为主;侧风情况下,整体偏暗,SAR图像条带亮暗相当;最佳探测风向是逆风向. 相似文献
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提出了基于冰冻河流的一种水下测量方法,即GPS RTK无验潮测深方法。此方法可充分利用北方冬季时间,不需要验潮,也不需要使用测量船作业,极大地降低了作业成本。 相似文献
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水下地形测量是进行海洋科学研究的基础,也是海洋测绘的重要工作内容。近年来,机载激光测深技术的提出与应用有效地弥补了以舰船为载体的传统声学测深方法在近海浅水区作业存在的技术缺陷,也为相关工程问题的解决提供了新的技术手段。详细介绍了机载激光测深技术的基本原理与误差来源,概括与总结了国内外研究机构在系统研制及其有关算法研究方面的进展情况,并在此基础上分析了该技术在近海浅水区域的作业优势与所存在的关键性问题,以供相关研究参考。最后,结合机载激光测深技术目前的研究现状对未来该技术可能的发展方向进行了展望。 相似文献
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P. V. Nagamani Prakash Chauhan Nivedita Sanwlani M. M. Ali 《Journal of the Indian Society of Remote Sensing》2012,40(1):137-143
Ocean-colour remote sensing in optically shallow waters is influenced by contribution from the water column depth as well
as by the substrate type. Therefore, it is required to include the contribution from the water column and substrate bottom
type for bathymetry estimation. In this report we demonstrate the use of Artificial Neural Network (ANN) based approach to
spectrally distinguish various benthic bottom types and estimate depth of substrate bottom simultaneously in optically shallow
waters. We have used in-water radiative transfer simulation modeling to generate simulated top-of-the-water column reflectance
the four major benthic bottom types viz. sea grass, coral sand, green algae and red algae using Hydrolight simulation model.
The simulated remote sensing reflectance, for the four benthic bottom types having benthic bottom depth up to 30 m were generated
for moderately clear waters. A multi-layer perceptron (MLP) type neural network was trained using the simulated data. ANN
based approach was used for classification of the benthic bottom type and simultaneous inversion of bathymetry. Simulated
data was inverted to yield benthic bottom type classification with an accuracy of ~98% for the four benthic substrate types
and the substrate depth were estimated with an error of 0% for sea grass, 1% for coral sand and 1–3% for green and red algae
up to 25 m, whereas for substrate bottom deeper than 25 m depth the classification errors increased by 2–5% for three substrate
bottom types except sea grass bottom type. The initial results are promising which needs validation using the in-situ measured
remote sensing reflectance spectra for implementing further on satellite data. 相似文献
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Airborne Lidar bathymetry (ALB) is an effective and a rapidly advancing technology for mapping and characterizing shallow coastal water zones as well as inland fresh-water basins such as rivers and lakes. The ability of light beams to detect and traverse shallow water columns has provided valuable information about unmapped and often poorly understood coastal and inland water bodies of the world.Estimating ALB survey results at varying water clarity and depth conditions is essential for realizing project expectations and preparing budgets accordingly. In remote locations of the world where in situ water clarity measurements are not feasible or possible, using multiband satellite imagery can be an effective tool for estimating and addressing such considerations.For this purpose, we studied and classified reflected electromagnetic energy from selected water bodies acquired by RapidEye sensor and then correlated findings with ALB survey results. This study was focused not on accurately measuring depth from optical bathymetry but rather on using multiband satellite imagery to quickly predict ALB survey results and identify potentially turbid water bodies with limited depth penetration. For this study, we constructed an in-house algorithm to confirm ALB survey findings using bathymetric waveform information.The study findings are expected to contribute to the ongoing understanding of forecasting ALB survey expectations in unknown and varying water conditions, especially in remote and inaccessible parts of the world. 相似文献
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The squat phenomenon, that is, the sinkage of a vessel due to its motion can affect the safety of navigation and reduce the accuracy of hydrographic bathymetry. Therefore, it is necessary to model and predict the squat of vessels as a function of cruise speed. We present a Global Navigation Satellite Systems–based squat modeling method for both hydrographic and navigation applications. For implementation of the proposed method, onboard GPS antennae configurations are offered to model bow squat for full-form ships such as supertankers or ore–bulk–oil carriers as well as stern squat for fine-form vessels such as passenger liners or container ships. In the proposed methodology, the onboard GPS observations are used to determine cruise ground speed, heave, attitude, and controlling the quality of kinematic positioning via fixed baselines. The vessel squat is computed from ellipsoidal height differences of the onboard antennae with respect to a reference state, after removal of all disturbing effects due to roll, pitch, heave, tide, vessel load, and geoidal height variations. The final products of the proposed approach are the analytical squat models usable for hydrographic and navigation applications. As the case study, the method is applied to a survey vessel in the offshore waters of Kish harbor. Numerical results indicate that the experimental precision of the derived analytical squat models is in the range of 0.003–0.028 m. The computed navigation squat of the test vessel at a speed of 12.64 knots is 30 % of the vessel draft and about twice its hydrographic squat. Although the field test was performed on a survey vessel, the method can be applied to any ship at any waterway. The proposed method can address the inevitable demand of reliable squat models for delicate hydrographic projects and high-speed marine traffic. 相似文献
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船载水陆一体化综合测量系统研究进展 总被引：3，自引：1，他引：2
海岛、海岸带等水陆结合部一直是开展海洋测绘的困难区域。近年出现的机载激光测深技术尽管可应用于海岸带、海岛礁等区域的测量,但由于受限因素较多,未能实现我国大部分水陆地形的无缝拼接工作。船载水陆一体化综合测量技术通过多进程网络技术集成三维激光测距、多波束测深、定位定姿等技术,弥补了传统测量方式低效率、高成本、获取水陆高密度的三维空间地理信息困难等不足,作为新兴的海洋空间探测技术优势明显。本文概述了目前国内外船载水陆一体化综合测量系统的最新研究进展,并对系统组成及原理进行了介绍,同时总结了系统的数据采集、处理流程中的关键环节及存在的问题,最后展望了其未来的发展趋势。 相似文献
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CUBE曲面滤波参数联合优选关键技术及应用 总被引：2，自引：1，他引：1
CUBE(combined uncertainty and bathymetry estimator)算法是国际上主流的多波束测深异常值自动探测与处理算法,在国内外被广泛应用,但对其核心算法和参数知之甚少,不利于该项技术的国产化。本文详细阐述了CUBE算法的基本原理、数学模型、关键参数和处理步骤,进而建立了CUBE曲面滤波参数联合优选方法。通过选取典型地形区、参数试验、对比分析等步骤完成参数的联合优选,并用台湾浅滩实测数据进行了验证。结果表明,优化后的参数可有效提升多波束数据自动处理的精度和效率。本文成果可应用于国产多波束测深处理软件的深化研发以及多波束实测数据处理。 相似文献