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1.
姚明经  陈冲  史冬庆  王紫阳 《北京测绘》2014,(1):119-121,124
通航流量试验研究领导小组在三峡—葛洲坝两坝间组织开展大流量实船试航,我队承担本次任务航迹测量工作。本文提出了航迹数据自动处理流程,基于VB6.0开发航迹处理软件,并基于EPS2008,制作航迹符号。最后,通过实验数据,验证了数据处理的准确性和成图的快速性。  相似文献   

2.
The visible and near infrared bands of Landsat have limitations for detecting ships in turbid water. The potential of TM middle infrared bands for ship detection has so far not been investigated. This study analyzed the performance of the six Landsat TM visible and infrared bands for detecting dredging ships in the turbid waters of the Poyang Lake, China. A colour composite of principal components analysis (PCA) components 3, 2 and 1 of a TM image was used to randomly select 81 dredging ships. The reflectance contrast between ships and adjacent water was calculated for each ship. A z-score and related p-value were used to assess the ship detection performance of the six Landsat TM bands. The reflectance contrast was related to water turbidity to analyze how water turbidity affected the capability of ship identification. The results revealed that the TM middle infrared bands 5 and 7 better discriminated vessels from surrounding waters than the visible and near infrared bands 1–4. A significant relation between reflectance contrast and water turbidity in bands 1–4 could explain the limitations of bands 1–4; while water turbidity has no a significant relation to the reflectance contrast of bands 5 and 7. This explains why bands 5 and 7 detect ships better than bands 1–4.  相似文献   

3.
邹亚荣  赵崴  阎宇 《遥感学报》2014,18(Z1):92-97
针对检测目标进行基于引力场的船只目标增强,计算船只目标的纹理、光谱等指标,基于支持向量机(SVM)方法,利用天宫一号高光谱数据,得到空间探测信息与地面实际目标之间存在精确的相互关系,进行船只检测实验研究.结果表明:天宫一号高光谱数据能够有效的从海水背景中提取船只信息,但船只类型仍难以有效识别.图像的自动分割对于船只的检测非常重要.传感器的多光谱与高分辨率相结合是今后研制的一个主要方向.  相似文献   

4.
海上电动船已被普遍应用于海洋科考活动,但其电能的补给多依赖于岸基充电设备和人工回收,补电效率低下. 文中设计了一种以海洋能为能源的电动船智能充电装置,可利用风能、潮流能多能互补模式为水面电动船提供便捷充电. 利用北斗卫星导航系统(BDS)的导航与通信功能实现充电装置的定位,并引导电动船到达充电装置所在海域. 此外,岸基终端通过BDS实现装置工作状态的信息反馈,以获得电动船实时充电状态. 该装置可提高海上电动船电能的补给效率且能量来源清洁.   相似文献   

5.
To maintain national socio-economic development and maritime rights and interests, it is necessary to obtain the space location information of various ships. Therefore, it is important to detect the locations of ships accurately and rapidly. At present, ship detection is mainly carried out by combining satellite remote sensing imaging with constant false alarm rate (CFAR) detection. However, with the rapid development of satellite remote sensing technology, remote sensing data have gradually begun to show the characteristics of “big data”; additionally, the accuracy and speed of ship detection can be improved by analysing big data, such as by deep learning. Thus, a ship detection algorithm that combines CFAR and CNN is proposed based on the CFAR global detection algorithm and image recognition with the CNN model. Compared with the multi-level CFAR algorithm that is based on multithreading, the algorithm in this paper is more suitable for application to ship detection systems.  相似文献   

6.
船舶作为海上运输载体,其准确检测在海洋环境保护、海上渔业生产管理、海上交通与应急处置及国防安全应用中都具有重要意义和价值。目前基于目标检测网络的遥感船舶检测方法因末层特征分辨率不足和卷积固定的几何结构,导致网络难以适应小尺度且具有随机朝向、形态多变特征的船舶目标,进而限制船舶检测精度。针对该问题,本文提出一种用于遥感影像船舶检测的特征金字塔网络建模方法。首先引入形变卷积/RoI池化模块,以适应朝向和形态多变的船舶目标;其次借鉴在小目标检测中性能出色的特征金字塔网络的建模思想,采用对称式网络和多尺度特征融合的方式进一步融合高级语义和低级空间信息,提升小尺度目标特征分辨率。在40 000幅、船舶目标67 280余个的遥感影像数据集上的试验结果表明,本文方法能够有效集成形变卷积/RoI池化和多尺度特征融合方法,相较传统CNN船舶检测方法取得明显提升,在准确率、召回率及F_1指标上分别达到85.8%、97.9%和91.5%。  相似文献   

7.
船舶数据的管理和可视化对航道、船舶管理具有重要意义。大量快速更新的船舶位置信息和影像数据,对数据存储、检索以及可视化提出了较高的要求。本文结合实际应用需求,基于非关系型数据库MongoDB和开源地图API设计并开发船舶信息管理系统。该系统将船舶和热点区域数据存储在MongoDB中,可在浏览器中高效同步显示大量空间数据,提供属性查询、空间检索和统计制图等功能,并且可在线编辑数据库中的热点区域数据。本系统主要解决了MongoDB数据库中空间数据高效检索,BSON文档格式和Geo JSON地理要素格式的转换,数据库中空间数据在线编辑等问题,为船舶信息化管理提供了支持。  相似文献   

8.
星载SAR图像船舶及航迹检测   总被引:3,自引:0,他引:3  
研究了星载SAR图像中船舶目标及其航迹的检测提取方法。通过扩展分形特征检测船舶目标 ,在目标周围运用局部Radon变换检测航迹。实验结果表明 ,本文方法对于静止和运动船舶目标的检测都具有较强的鲁棒性  相似文献   

9.
随着人工智能技术和计算机技术的发展,测绘遥感领域的智能化、自动化趋势愈发积极,继无人机遥感系统后,无人船遥感系统逐渐受到业内人士的关注。作为未来水上测绘的核心,无人船遥感系统发挥着重要的作用。无人船凭借其灵敏性强、隐蔽性高、运行速度快、方便快捷等优点被广泛地应用于军事和民用领域。本文介绍了国内外无人船遥感系统发展的历史及现状,总结了无人船平台搭载传感器的类型及其作用,综述了无人船遥感影像的处理方法及其应用领域,同时进一步讨论了无人船未来发展的趋势。在5G时代和大数据背景下,结合新一代卫星通信技术,使无人船遥感系统实现空天一体化,为无人船的发展带来了网络化、数字化、智能化的变革。  相似文献   

10.
冰山亦被称为“海洋杀手”,其对在其附近海洋上航行的船舶构成很大的威胁。本文阐述了海洋上冰山的特性及其对海上船舶的危害,且研讨了基于北斗卫星导航系统(BDS)对海洋上冰山踪迹进行监测的方法并设法告知海洋上船舶冰山的位置,使船舶提前躲避冰山避免灾难的发生。文章研讨的结果亦可以为以后数字海洋的建设提供参考。  相似文献   

11.
高分辨率遥感影像上基于形状特征的船舶提取   总被引:9,自引:0,他引:9  
由于高分辨率遥感影像上靠岸船舶的灰度、纹理特征往往和港口地面接近,与离岸船舶相比,其自动提取与识别相对更为困难,为此,为离岸、靠岸船舶的提取设计了不同方案。实验证明了方法的有效性。  相似文献   

12.
一种改进的CFAR船只探测方法   总被引:1,自引:0,他引:1  
陈鹏  黄韦艮  傅斌  史爱琴 《遥感学报》2005,9(3):260-264
提出了一种改进的CFAR船只探测算法。该方法采用PNN模型来估计海面雷达后向散射的概率分布模型,利用CFAR技术来确定整体阈值,采用基于交叉验证技术的黄金分割搜索法估算高斯分布的形状参数,使用区域生长法去除虚警。使用Radarsat图像对该方法进行了检验,并与改进前的算法进行了比较,结果显示该文的探测算法在探测精度和探测速度上均明显优于改进前的算法。  相似文献   

13.
Quad-pol data are generally acknowledged as providing the highest performance in ship detection applications using SAR data. Yet quad-pol data have half the swath width of single and dual-pol data and are thus less useful for maritime surveillance, where wide area coverage is crucial. Compact polarimetry (CP) has been proposed as a compromise between swath width and polarization information. The circular-transmit-linear-receive (CTLR) CP data have certain engineering advantages over other CP configurations. CP data may be used to reconstruct a reduced quad-pol covariance matrix (termed pseudo-quad, or PQ, data) and the potential of these data in terrestrial applications has recently been demonstrated. We present some of the first results on the use of CTLR data and reconstructed quad-pol data for ship detection. We use Radarsat-2 fine-quad (FQ) data to examine 76 ships over a range of incidence angles and ship orientations at low to moderate wind speeds. We examined the ship detection performance of full quad-pol and full-PQ data; several dual-pol configurations suggested in the literature, HV and PQ HV and the raw CTLR data. We find that the ship detection performance of the PQ HV data is the strongest of all the detectors we examined, with performance that was comparable to quad-pol data. Other strong performers were HV and CTLR data.  相似文献   

14.
M. C. Kim 《Journal of Geodesy》1997,71(12):749-767
The fundamental geometry of satellite ground tracks and their crossover problem are investigated. For idealized nominal ground tracks, the geometry is governed by a few constant parameters whose variations lead to qualitative changes in the crossover solutions. On the basis that the theory to locate crossovers has not been studied in sufficient detail, such changes are described in regard to the number of crossover solutions in conjunction with their bifurcations. Employing the spinor algebra as a tool for establishing the ground-track crossing condition, numerical methodologies to locate crossovers appearing in general dual-satellite ground-track configurations are also presented. The methodologies are applied to precisely determined orbital ephemerides of the GEOSAT, ERS-1, and TOPEX/POSEIDON altimeter satellites. Received: 19 November 1996 / Accepted: 12 May 1997  相似文献   

15.
Using SAR Images to Detect Ships From Sea Clutter   总被引:4,自引:0,他引:4  
An innovative constant false alarm rate (CFAR) algorithm was studied for ship detection using synthetic aperture radar (SAR) images of the sea. Two advances were achieved. An alpha-stable distribution rather than a traditional Weibull or -distribution was used to model the distribution of sea clutter. The distribution of sea clutter in a SAR image was typically heterogeneous, caused mainly by variable wind and current conditions. Image segmentation was carried out to improve the homogeneity of the distribution in each subimage or region. In comparison with ship detection using the CFAR algorithms based on the Weibull or K -distribution, our algorithm detected the most number of ships with the smallest number of false alarms.  相似文献   

16.
导航卫星速度和加速度的计算方法及精度分析   总被引:1,自引:0,他引:1  
导航卫星自身的速度和加速度的计算是利用GNSS解算用户速度和加速度的前提和关键,其计算精度也直接影响解算结果。系统分析和总结了基于广播星历和精密星历的导航卫星速度和加速度的计算方法,包括:(1)基于广播星历的公式法;(2)基于导航卫星位置序列的数值差分法;(3)基于导航卫星位置序列的解析差分法。首先在基于广播星历的公式法中,推导了Kepler根数型、GEO型、位置-速度型等三类广播星历计算卫星速度和加速度的解析计算公式,通过比较表明:(1)广播星历解析公式总体计算精度较低;(2)位置-速度型广播星历的加速度计算精度高,而Kepler型广播星历的速度计算精度高;(3)高轨道卫星的速度、加速度计算精度优于中轨卫星。进一步分析了基于精密星历的数值差分法和解析差分法的卫星速度和加速度的计算方法,两种方法的比较研究表明,解析差分法虽然在计算效率上具有优势,但利用短期位置序列建立的解析模型难以表达卫星的真实轨道特征,导致计算的卫星速度较数值差分法低,但两者的加速度计算精度相当。最后通过来自于连续运行参考系统(Continues Operational Reference System, CORS)站点上的实测数据对上述各方法的计算精度进行了评估和比较,表明数值差分法具有最高的速度和加速度计算精度,在高精度应用中应尽量采用。  相似文献   

17.
船舶可视化和分析在现代航海管理领域中发挥着重要作用。鉴于目前主流的船舶符号栅格表达方式存在失真、不易交互等弊端,本文提出一种面向大范围船舶实时动态数据的矢量标绘方法。基于时空GIS技术实时接入船舶数据流,创建一个不断更新的船舶要素服务;在前端通过WebSocket建立与服务间的双向通信,低时延获取最新船舶定位信息;并结合多空间尺度表达规则和标绘算法进行符号重绘,实现对船舶位置、尺寸、航向在不同显示级别下的精确表达。测试证明,该方法可以有效支撑较大地理范围内船舶数据的动态可视化,满足船舶避碰、海事管理和应用分析的需要。  相似文献   

18.
Pointable sensor systems onboard many earth resources satellites today, particularly the higher spatial resolution sensors, provide for a near infinite set of collection opportunities. Satellite orbits of these systems are not systematic repetitive tracks. Predicting future collection opportunities requires predicting where the satellite will be and then computing the potential swath coverage from a pointable sensor along these orbits. While each agency or company models its own satellite-sensor systems, few publicly available sources exist for mapping future satellite ground tracks. Evaluating collection opportunities from multiple satellite-sensor systems from different agencies/companies is problematic. The purpose of the research described in this article was to develop a generic approach for modeling future satellite-sensor collection opportunities. In this article, formulae are developed for computing the potential swath coverage, and an algorithm is designed for constructing the potential swath coverage area. The solution to the swath coverage problem is based on spherical trigonometry, a well known map projection (i.e., azimuthal equidistant map projection) used in an unconventional dynamic form, and a satellite orbital propagation model. We demonstrate how the computation of the swath coverage area can be accomplished using a temporal series of re-centered map projections.  相似文献   

19.
In recent years, the precise orbit determination (POD) of the regional Chinese BeiDou Navigation Satellite System (BDS) has been a hot spot because of its special constellation consisting of five geostationary earth orbit (GEO) satellites and five inclined geosynchronous satellite orbit (IGSO) satellites besides four medium earth orbit (MEO) satellites since the end of 2012. GEO and IGSO satellites play an important role in regional BDS applications. However, this brings a great challenge to the POD, especially for the GEO satellites due to their geostationary orbiting. Though a number of studies have been carried out to improve the POD performance of GEO satellites, the result is still much worse than that of IGSO and MEO, particularly in the along-track direction. The major reason is that the geostationary characteristic of a GEO satellite results in a bad geometry with respect to the ground tracking network. In order to improve the tracking geometry of the GEO satellites, a possible strategy is to mount global navigation satellite system (GNSS) receivers on MEO satellites to collect the signals from GEO/IGSO GNSS satellites so as that these observations can be used to improve GEO/IGSO POD. We extended our POD software package to simulate all the related observations and to assimilate the MEO-onboard GNSS observations in orbit determination. Based on GPS and BDS constellations, simulated studies are undertaken for various tracking scenarios. The impact of the onboard GNSS observations is investigated carefully and presented in detail. The results show that MEO-onboard observations can significantly improve the orbit precision of GEO satellites from metres to decimetres, especially in the along-track direction. The POD results of IGSO satellites also benefit from the MEO-onboard data and the precision can be improved by more than 50% in 3D direction.  相似文献   

20.
基于特征的模糊神经网络遥感图像目标分类识别   总被引:1,自引:0,他引:1       下载免费PDF全文
特征是图像处理中用于辨识目标的最基本属性.提出了利用模糊神经网络方法,针对舰船的几何特征、矩特征和纹理特征进行舰船目标识别处理.首先简单地描述了几何特征、矩特征尤其是Hu矩特征、一阶纹理特征和二阶纹理特征.然后分别对仿真数据、卫星观测数据中的舰船目标,以及自动检测处理获取的舰船目标的几何特征、Hu机特征和纹理特征进行了提取和分析.模糊神经网络方法可以综合模糊集理论和神经网络方法的优势,有效地实现基于特征的图像目标分类识别处理.文章首先描述了一种主从神经元结构的模糊神经网络分类识别方法,然后利用该方法对大型舰船进行分类识别,包括基于单类舰船特征的分类识别和基于多源(时相)数据融合的分类识别.实验结果表明,基于大型舰船的几何特征、矩特征和纹理特征,利用模糊神经网络方法可以实现对大型舰船目标的有效分类识别.通过多源数据融合处理,可以改善分类识别效果.  相似文献   

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