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1.
抠图技术能够准确细致地检测出前景与背景的差异,但是现有的大多数抠图算法均需事先给出前景与背景的标记,在海量影像处理业务中具有明显的局限性。本文将抠图技术引入风云气象卫星影像云检测中,提出了基于连通区域抠图的自动精细云检测算法。首先对影像的灰度图像进行多种阈值方法二值化,通过投票法集成得到初步二分图;在此基础上计算连通区域,以连通区域的重心为种子点,自动生成连通区域三分图;最后使用闭形式抠图法求解alpha值进而得到精细的云检测结果。将该方法与基于学习和稳健性抠图检测算法进行了对比,试验结果表明,该方法能够较好地检测出多种类型的云,具有更高的准确率。  相似文献   

2.
依据线性体图像的特点,提出了一种最大长度原则下基于端点提取的自动跟踪矢量化算法。该算法通过对节点及其信息进行提取快速抓住线性体的总体拓扑结构,并以节点信息为指导对线性体进行矢量跟踪和直线提取解决了复杂的线性体交叉问题。算法具有精度高、抗噪性好和适应性强的特点。  相似文献   

3.
Abstract

Photogeological techniques were used to analyze Landsat‐TM images of the Paraiba State, which resulted in the identification of the following structures: lineaments of regional extent, short en echelon lineaments, intricate ramification of the wrench system, and infrastructures among major lineaments and circular or ring structures. This lineament map was correlated to existing geological maps, to areas of known hydrothermal mineralization (Cu, Au, Mo, Ni, W and Ti), and the lineament map was verified in the field reconnaissance. Due to lack of systematic studies of the geology and natural resources of the region the mineral exploration is still in rudimentary stages. The objective of this research is to emphasize the detection and analysis of lineaments, their patterns, and geometry and their relations with the occurrence of mineral resources and its exploration in areas as yet explored. A large number of mineral‐bearing pegmatites of the region are controlled by major lineaments and associated minor lineaments. It is believed that the structures of interest in search for mineral deposits are warping part of the minor shear zones, the intersections of short and regional lineaments, and the circular features.  相似文献   

4.
时春霖  张超  陈长远  杜兰  叶凯  韩忠 《测绘学报》2018,47(4):446-454
图像分割是处理恒星星图的基本问题之一,也是确保野外高精度天文测量精度的关键步骤。图像分割的重点是图像二值化,对于星图的复杂星空背景,传统的阈值分割算法难以将星点目标从背景中提取出来。针对徕卡视频测量机器人TS50i拍摄恒星星图的小视场、单星点、弱目标和单峰性的特点,首次提出了运用一维最大熵法对星图进行阈值分割。对比分析了常用的几种阈值分割算法,通过对分割结果的比较和定量分析,验证了一维最大熵法能够在充分保留图像信息的同时,对TS50i图像达到具有良好的二值化处理效果。基于大量实拍星图背景的仿真试验表明,以该算法为基础的星点提取算法的准确性和可靠性得到验证,星点提取精度较野外一等天文测量精度要求高一个数量级,可以满足野外高精度天文测量的需求。  相似文献   

5.
Various image processing techniques were experimented with in this study to evaluate their efficiency for geological mapping in the Eljufra area of northwest Libya. Remote sensing data including multi-spectral optical Landsat Enhanced Thematic Mapper (ETM+), Synthetic Aperture Radar (ERS-2 SAR) and Digital Elevation Models (DEMs) extracted from the Shuttle Radar Topography Mission (SRTM) data were used to trace different lithological units as well as extracting geological lineaments in the study area. The study area is located in an arid environment mostly devoid of any vegetation. Most lithological and structural units are distinguishable based on their topographic form and spectral properties. Fusion of ETM+ and ERS-2 images was experimented with to further identify lithological units. Shaded relief techniques were implemented to enhance terrain perspective views and to extract geological lineaments. The results discriminated different rock units and modified formation boundaries and revealed new geological lineaments. Nine rock units were identified and plotted in the new geological map defined by the new boundaries. The dominant lineaments tend to run in the NNW-SSE and NNE-SSW directions. Analysis and interpretation of the lineaments provided information about the tectonic evolution of the study area.  相似文献   

6.
高分辨率遥感影像的车道级高精地图要素提取   总被引:2,自引:0,他引:2  
高精地图是城市道路场景下自动驾驶必不可少的基础设施之一。针对目前高精地图静态层在生产和更新中存在的采集成本高、周期长、数据处理复杂等问题,本文提出了一整套基于高分辨率遥感影像的高精地图静态层的车道级要素提取方案。首先,通过SURF算法对多时相影像进行配准,同时结合影像的光谱信息对像元进行判断,实现了对车道中动态车辆的检测和去除;然后,基于面向对象的方法提出了一种要素对象的特征选择方法,并结合统计学理论对各要素进行阈值分析,实现了对虚线车道线、人行横道等车道级要素的检测和提取;最后,结合试验数据,验证了本文所提出的基于遥感影像的车道级要素大范围快速提取方案的有效性。  相似文献   

7.
Lineament extraction approach allowed mapping of larger number of lineaments in a classical manner in tectonic and structural studies. In the present study, various techniques were adopted to extract lineaments using Landsat ETM+ images. To remove the biasness of the images, some pre-processing techniques like stream ordering, band differencing, colour texturing were employed to enhance the edges of the structural features. Extracted lineaments and its distribution and orientation were mapped using ArcGIS Spatial analyst tool. Results of the study showed maximum number of lineaments were oriented in the ENE–SWS direction with 63° overall inclination. Accuracy assessment and validation were made with respect to visual interpretation and overlaying the lineament on Digital Topographic Model as well as with respect to an existing geological lineament map of the study site. The result of accuracy assessment indicates higher compatibility of Central Indian Suture with the geological map of the study area.  相似文献   

8.
针对复杂室内环境下视觉SLAM定位存在实时性差、轨迹漂移等问题,本文提出了一种基于图像特征提取方法的ORB-SLAM算法。该算法在前端中提高图像特征检测与匹配的效率和精度,引入闭环检测策略优化相机位姿轨迹,提高定位精度。以不同来源图像对比分析不同特征提取算法SIFT、SURF、ORB的有效性,运用该算法估计机器人运动轨迹,与真实轨迹相对位姿误差为0.144 8 m,试验表明所提出的方法切实可行,具有较高的稳健性。  相似文献   

9.
卢晓光  蔺泽山  韩萍  邹璨 《遥感学报》2019,23(6):1186-1193
针对复杂PolSAR图像场景中机场目标区域检测问题,本文提出一种自适应无监督分类的机场目标快速检测方法,该方法首先对极化SAR相干矩阵分解提取PolSAR图像的特征值图,转化为超像素图实现图像去噪及降维。然后用SLIC超像素分割算法分割构造超像素。基于超像素图构建极化分类特征,并采用无监督的谱聚类方法提取出疑似机场跑道区域,其中的类别数确定利用VAT-DBE(Visual Assessment of cluster Tendency-Dark Block Extraction)算法获得。最后,在疑似区域内结合跑道结构特征进一步辨识检测出场景中的机场跑道区域。利用美国UAVSAR系统采集的多组全极化SAR实测数据对算法进行验证,并与两种已有的无监督跑道检测算法进行对比,实验结果表明,该算法能够快速准确检测出机场跑道区域,处理耗时可减小80%以上。具有更好的鲁棒性。  相似文献   

10.
A methodology for the interpretation and mapping of lineaments and related geological features from medium-resolution, Meteor satellite scanner imagery is described. Special emphasis is placed on improving traditional methods of transferring information interpreted from remote sensing materials onto a cartographic base through compensation for the special character of geometric distortion on scanner imagery and selection of appropriate map projections for the cartographic base. This boils down to the development of computer models for correlating control points on a scanner image and map base, and algorithms for the plotting both of that base and the thematic image elements that are the focus of interest. Translated from: Vestnik Moskovskogo Universiteta, geografiya, 1986, No. 3, pp. 35–40.  相似文献   

11.
显著性权重RX高光谱异常点检测   总被引:1,自引:0,他引:1  
高光谱图像异常点检测中,传统RX异常点检测算法忽略了空间相关性,背景估计不准确。本文提出了一种基于图像局部邻域光谱显著性分析的加权RX算法。该算法通过引入图像显著性分析,对基于概率密度为权重的图像背景建模进行改进,建立光谱显著性权重图,重新定义RX算法中的均值向量和协方差矩阵,并给不同的目标赋予不同的权值,达到优化背景估计的目的。利用合成高光谱数据和真实高光谱数据进行异常点检测实验,结果表明,对于同一组数据,本文算法检测到的异常点数比传统算法多,虚警率较低,有效地提高了检测率。  相似文献   

12.
彭曙蓉  王耀南  刘国才 《测绘学报》2007,36(1):62-66,77
配准精度是InSAR合成孔径雷达干涉成像技术中的重要指标。为获得高精确度的测量结果,提出一种包括概略配准、像素级初配准和亚像素级精配准三个环节的逐级提高精度的InSAR复图像配准方法。利用EnView软件提供的经度和纬度实现概略配准、采用基于多边形结构和边缘提取的像素级初匹配方法大大提高匹配速度。考虑以往的匹配算法都是基于能量图进行并且忽略了整体性,采用基于整体松弛匹配和相位最小二乘匹配相结合的亚像素级精匹配算法减少误匹配率,提高匹配精度。实验结果证明该方法具有良好的性能。  相似文献   

13.
提出了一种基于多比例尺地图数据的线状要素综合方法,若一个顶点在两个不同比例尺的对应线状要素上都存在,则它在中间比例尺线状要素上也应该得到保留。首先,利用不同比例尺线状要素进行同名点识别,并在较大比例尺线状要素上进行标记;然后,以标记的同名点为断点,将大比例尺线状要素分割成多个线段;最后,对分割后的各线段结合Douglas-Peucker算法进行综合。通过实验分析论证了该方法的可行性及有效性。  相似文献   

14.
对同一线状要素的不同比例尺表达,借鉴Douglas-Peucker线状要素简化算法思想分别建立BLG树,通过对两BLG树从根结点到叶子结点进行层次匹配将两线状要素对应分割成多对线段。在此基础上,借助线性插值算法进行Morphing变换。实验结果证明,此方法有效保持了原线状要素的结构特征,提高了Mor-phing变换精度,改善了Morphing变换效果。  相似文献   

15.
背景复杂下航拍图像的电力线识别算法   总被引:2,自引:0,他引:2  
如何从具有复杂背景的无人机航拍图像中完整准确地识别出电力线已成为电力线无人巡检的关键问题之一。本文通过分析航拍图像中电力线的特征,提出了一种复杂背景下电力线检测和识别的新算法。首先对原始图像进行直方图均衡化处理,改善图像的对比度;然后使用由LoG算子改进的边缘绘图-参数自由(EDPF)算法对航拍图像进行边缘检测,滤除背景噪声,并检测出电力线边缘;最后利用Radon变换和先验知识完整提取出图像中的电力线。试验结果表明,本文方法比传统的Canny算子与Hough变换的结合方法、LSD算法的识别准确率更高,识别效果更完整,稳健性更好。  相似文献   

16.
无人机对电力线巡检的关键问题是如何从复杂背景的航拍图像中准确地提取电力线。本文提出了一种基于二维变分模态分解 (2D-VMD) 提取电力线的新算法。首先对原始航拍图像进行预处理,加快数据处理速度;然后采用2D-VMD算法对预处理后的图像进行分解,通过改进后的点锐度算法,选取带有电力线特征的IMF分量图,并利用Roberts算子进行边缘检测;最后利用形态学改进的Hough变换,完成对电力线的提取。试验结果表明,本文方法比传统的Canny算子结合Hough变换方法、LSD方法、Roberts 算法结合形态学改进的Hough变换方法更具精确性、抗噪性、自动化。  相似文献   

17.
埃默里冰架(Amery ice Shelf,AIS)是南极洲第三大冰架,冰架状态影响着南极洲物质平衡和海平面变化,但目前对于AIS与海水交界的冰架前端位置确定研究甚少。基于哨兵一号(Sentinel-1)合成孔径雷达(synthetic aperture radar,SAR)影像提出了一种高效且精确的冰架前端自动检测方法,利用冰架和海水之间的过渡带的SAR后向散射系数分布特点,利用Sentinel-1 SAR影像并结合单元最小恒虚警率(smallest of constant false alarm rate,SO-CFAR)和形态学滤波得到冰水二值图,采用滑动窗口和累积和的方法自动提取每条剖面线对应的冰架前端点位置,自动绘制AIS前端轮廓线。考虑SAR影像空间分辨率和剖面分辨率等因素对前端检测的影响,进行冰架前端参数优化,并分析有无浮冰对冰架前端提取精度的影响。为了验证影像空间分辨率对各种方法检测结果的影响,将AIS前端无碎冰的影像进行双线性内插法重采样处理,并与基于标准差与五大值法的冰架前端提取算法进行精度对比分析。实验证明提出的剖面法具有一定的适用性。此外,通过分析AIS前端有无碎冰发现,基于SO-CFAR和形态学滤波算法相结合的剖面法对冰架前端提取精度最佳,最优检测精度小于1个像素,且受表面融水、冰架破碎等较小,具有较强的场景适应性。  相似文献   

18.
The C-band imaging radar of ERS-1, due to its high sensitivity to terrain surface features, holds tremendous potential in topographic terrain mapping for various applications. This is being examined for geological applications, mainly structural and lithological mapping in a mineral belt of Bihar and Orissa, India. The high image contrast that facilitates structural interpretation and highlights topography on the SAR images, reflects the high sensitivity of the ERS-1-SAR to change in terrain slope in the study area. Extensive lineaments, fold structure and major lithological contacts are easily mappable from the SAR imagery. Many of the lineaments, lithological contacts and fold pattern are mapped equally from optical data (Landsat-TM and IRS-1B FCC). The close association of fold pattern and mineral deposits in the region has necessitated the study of those structures carefully from various remote sensing data products. Synergism between SAR and TM provided useful results regarding structure and lithology of the region. The advantage of SAR in highlighting topography and detecting lineaments are affected to a great extent by the speckle noise and low pixel resolution. The present study shows that future geologic interpretation demands high spatial resolution and efficient data processing technique which reduces the speckle noise more significantly.  相似文献   

19.
无人机倾斜摄影铁路轨道线高精度自动重建   总被引:1,自引:1,他引:0  
王广帅 《测绘通报》2022,(5):133-139+156
针对既有铁路测绘上线难、作业效率低及测量精度不足的问题,本文提出了一种基于无人机多视图几何原理的铁路轨道线高精度重建方法。首先从无人机影像上提取线特征;然后采用像方测度获得候选匹配线,基于物方距离测度进行Powell优化,获得精确的钢轨线匹配结果;最后,将影像钢轨线匹配结果作为观测值,以钢轨线反投影距离作为测度,最小二乘优化物方钢轨直线段坐标。试验结果表明,本文方法实现了影像轨道线自动匹配与高精度平差解算,像方反投影残差优于0.5像素,轨距和高程的内符合精度分别为0.006和0.005 m。解算成果的平面高程绝对定位精度可达到2 cm左右,平差模型收敛性良好,可以满足工程应用的需要。  相似文献   

20.
针对目前高分辨率遥感影像变化检测算法对于光谱变化过敏感问题,本文提出了一种基于超像素分割与条件随机场(CRF)的遥感影像变化检测算法。首先采用空间约束的t混合模型驱动的分割模型,获得同质性超像素块,实现良好的边界附着性和亮度均匀性。然后计算分割得到的双时相影像块之间的特征差异性,获取变化幅度图像。最后利用模糊聚类算法(FCM)对变化幅度图像进行聚类,得到隶属度图像作为CRF一阶势,并利用光谱-空间相似度约束的函数构建CRF二阶势。试验结果表明,与现有方法相比,该方法检测精度可提高5%,错检率和漏检率可降低3%,能较好地应对输入图像的光谱变化,并保持变化检测结果的边缘细节。  相似文献   

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