共查询到20条相似文献，搜索用时 234 毫秒
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根据无人机影像电力线的特征,利用LSD算法实现了电力线的自动提取。首先使用各向同性的Sobel算子对特征区域进行图像增强,再使用LSD算法进行线段提取,然后通过线段合并和线段拟合过滤线段集合,最后使用K均值算法进行聚类,筛选得到最终电力线结果。采用多种地物背景下的电力线影像进行实验,结果表明,该方法能提取完整的电力线,稳健性强,对电力巡线具有较大的实际意义。 相似文献
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面向遥感大范围应用的目标,自动化程度仍是遥感影像分类面临的重要问题,样本的人工选择难以适应当前土地覆盖信息自动化提取的实际应用需求。为了构建一套基于先验知识的遥感影像全自动分类流程,本文将空间信息挖掘技术引入到遥感信息提取过程中,提出了一种面向遥感影像对象级分类的样本自动选择方法。该方法通过变化检测将不变地物标示在新的目标影像上,并将过去解译的地物类别知识迁移至新的影像上,建立新的特征与地物关系,从而完成历史专题数据辅助下目标影像的自动化的对象级分类。实验结果表明,在已有历史专题层的图斑知识指导下,该方法能有效地自动选择适用于新影像分类的可靠样本,获得较好的信息提取效果,提高了对象级分类的效率。 相似文献
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为了能有效地从高分辨率遥感影像中提取地物信息,本文通过影像的光谱和纹理特征,利用BP神经网络算法进行影像分类研究。首先提取分类所需的光谱和纹理特征源,然后根据影像和地物特征,建立BP神经网络,用于样本训练和分类处理,实现地物分类。为验证该方法的可靠性,以2006年11月获取的成都平原某区域的Quickbird影像为实验数据,进行高分辨率遥感影像的地物分类实验。实验结果表明,结合影像光谱和纹理特征的BP神经网络分类算法,不仅可以有效保证BP神经网络分类训练的稳定性和收敛速度,还能达到较高的分类精度。 相似文献
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遥感影像计算机自动分类技术的基本原理,是根据地物类别在遥感影像上反映出来的光谱、纹理和时相等特征而对地物进行分类的,并在影像上确定每一地物类别的平面分布。以光谱特征为基础的模式识别方法,是当前遥感应用中最常见的计算机自动分类方法,它是根据不同地物类别的不同反射光谱特性、以地物影像光谱特征的相似性作为判别 相似文献
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影像分类技术是遥感影像分析与解译的重要基础。纹理特征是影像的重要特征,本文主要实现基于纹理特征的遥感影像监督分类。首先对地物样本进行提取,通过样本训练统计各类地物纹理特征向量,建立纹理特征库;然后以各类地物的特征向量作为基准,采用最短距离分类器对影像进行分类;最后采用混淆矩阵对分类结果进行精度评定,并与ERDAS专业软件分类结果进行对比分析。实验证明,本分方法取得了与ERDAS软件相当的分类效果,从而验证本文方法的可靠性。 相似文献
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为了提高遥感影像地物分类精度,提出了一种基于多特征组合与自动加权K-Means聚类算法的影像分类方法。首先提取影像的SIFT,GIST,颜色,Census和Gabor等多种类型特征,然后通过实验分析确定最佳特征组合。针对一般K-Means算法没有考虑各个特征值权重的问题,提出利用自动加权K-Means算法计算不同特征分量的权值,分别对SIFT,GIST和Gabor特征构建了基于权重的影像特征词汇表;然后利用稀疏编码算法进行影像编码;最后使用SVM算法完成影像分类。通过实验表明提出的方法能有效提高遥感影像分类准确性,并且具有较好的稳定性和鲁棒性。 相似文献
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高分辨率光学遥感几何与纹理约束的线段优化算法 总被引：1，自引：1，他引：0
针对高分辨率光学遥感影像线段断裂问题,提出一种基于几何与纹理约束的线段优化算法。首先,将线段视为地物轮廓表达的一种方式,由此从同一地物边缘角度出发,提出线段断裂的几何与纹理规律;其次,提出线段优化算法,以提取线段结果为处理基元,依据线段长度确定初始优化线段,设定跟踪矩形,建立针对断裂线段的几何纹理约束模型,构建动态优化模型,并给出完整的线段优化流程。最后,通过多幅不同实际场景、不同类型高分辨率遥感影像的试验结果分析,表明本文算法不仅能够解决由地物遮挡、边缘模糊及边缘锯齿化造成的线段断裂问题,并且在优化线段长度以及抑制线段过提取问题方面,均表现出较大的优势。 相似文献
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针对高空间分辨率遥感影像城市地物信息提取中的尺度效应、光谱多样性及分类特征优化等问题,基于面向对象影像分析方法,结合数据挖掘与机器学习技术,提出了一种多层次分割分类模型及其特征空间优化的建筑物提取方法。首先,根据遥感信息多尺度特性,针对地物特征差异设立层级关系,再结合光谱多样性特征定义地物包含的子类型,建立基于不透水面分割分类提取建筑物的层次化结构;然后,利用提出的Relief F-PSO组合特征选择方法,优化构建相应层次的影像特征空间;最后,在多尺度分割和特征优化的基础上,基于随机森林模型获取不透水面分布,进而采用J48决策树算法分类提取建筑物。实验结果表明,该方法能够利用较少数量的影像特征,获得高精度的建筑物提取成果。 相似文献
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A. M. Rakshit 《Journal of the Indian Society of Remote Sensing》1983,11(2):67-70
Geological mapping of the Vindhyan and Deccan Trap terrain around Jhalawar was accomplished by aerial photointerpretation with limited field checks in parts, by conventional field mapping for part of the area and also by interpretation of LANDSAT imagery. A comparative assessment of the data producing capability and accuracy of these methods is made from the case study. Major geological formations comprising Semri, Kaimur, Rewa and Bhander groups of Vindhyan supergroup, Deccan Trap and recent fluvial sediments are equally interpretable from all three level (i.e. ground, air and space) surveillance data. All the members and units are mappable on air photos and on ground but not on the LANSAT imagery. It is difficult to plot all the flows and flow units of Deccan Trap on a topographic base map during conventional field mapping but these are more or less separable on aerial photos. Structural trends are decipherable by photointerpretation but lineaments are well depicted on LANDSAT imagery. Physical and petrological characters of rocks can, however, only be studied in situ and by laboratory analysis of samples. Aerial photointerpretation techniques can be applied for geological mapping of Vindhyan and Deccan Trap terrain with high degree of confidence and reasonable accurate maps can be generated. LANDSAT imagery are useful for generation of small scale reconnalssance and lineament pattern maps. The best system of mapping such terrain would be photointerpretation with limited field check and collection of essential groundtruth and specimens for laboratory analysis along selected traverses thus minimising the time and cost of survey. 相似文献
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Manohar Yadav Salil Goel A. K. Singh Bharat Lohani 《Journal of the Indian Society of Remote Sensing》2014,42(2):301-310
There is a growing demand for technologies that support capturing of comprehensive and good quality 3D spatial data at a faster rate with low investment and minimal effort, while also causing least disturbance to other activities in the area. Mobile mapping systems (MMS), which are being developed in a few western countries, solve this problem but their import is highly expensive. While the components of a MMS are easily available off-the-shelf at lower cost, the main reason for their high cost is the intellectual property involved in the sensor design, integration, calibration, and the related software. Developing the intellectual property locally can bring down the cost of MMS to a large extent. Keeping this in mind, a MMS has been developed in this research using the locally available sensors. This paper describes the methodology to integrate navigation and mapping sensors including the developed calibration procedures. It further describes the time synchronization technique developed for multi-sensor data fusion and algorithms implemented by software package for data processing. The sensors integrated in the MMS include a standard GPS, IMU and a standard laser scanner. A Kalman filter is implemented to integrate the GPS and IMU data, which provides position and orientation information for the sensors. A simulation software package is also developed to verify, understand and develop the equations used in MMS. Field tests have been performed using the developed MMS and the results are shown for a few cases. Results validate the designed algorithms and indicate the successful development of the MMS, which has potential to be further developed and used in field. Though a number of papers are available on MMS, the thrust of this paper is to present a complete methodology for developing a MMS using locally available sensors. Unlike available papers, this paper outlines all aspects of design, calibration and operation, where each of these aspects is handled in a novel way as demanded by the available sensors. This is particularly useful for individuals or organizations interested in procuring sensor components off-the-shelf and develop their own (low cost) Mobile Mapping system. 相似文献
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C. D. Burnside 《The Photogrammetric Record》1985,11(65):495-506
This paper was the first to be presented at the Thompson Symposium 1984 which had as its theme “The future of photogrammetry”. The paper considers only the acquisition of imagery for large scale mapping and similar purposes. It discusses the role of the standard metric aerial survey camera and makes some proposals for the wider use of smaller format cameras. It also reviews the position with regard to other possible sources of imagery such as vidicon and solid state cameras. 相似文献
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阐述了MMS(移动测量系统)的概念、功能特性以及应用的领域,分析了移动测量系统的整体应用架构、采集数据的内容及组织方式,提出了基于移动测量技术的城市3维实景影像空间信息服务模式的架构和特点,通过佳木斯市公众地理信息服务平台展示基于移动测量技术的城市3维实景影像空间信息服务的具体应用.最后,展望了基于移动测量技术的城市3维实景影像空间信息服务的未来. 相似文献
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移动测量技术及其应用 总被引：22，自引：3，他引：19
从地理空间信息服务的关键技术与要求入手,论述了地理空间数据在地理空间信息服务的作用。在对地理空间数据采集与更新技术的分析基础上,提出了基于移动测量技术的地理空间信息服务数据采集与更新的技术途径,结合LD2000-RM移动测量系统,对其应用的领域和方向进行了介绍,最后对移动测量技术在地理空间信息服务的前景进行了展望。 相似文献
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This paper presents a multi-feature based system calibration method for estimating the boresight angles of a land-based mobile mapping system (MMS) comprised of multiple two dimensional (2D) scanners. The method invokes a least-squares adjustment (LSA) to simultaneously estimate several sets of boresight angles for multiple laser scanners incorporated in an MMS as well as the parameters associated with one or more types of geometric features. This is achieved by constraining the groups of feature point clouds captured by multiple runs to fit their corresponding geometric models in such a way that the weighted sum of squares of adjustment residuals is minimized. The method is particularly suitable for in situ calibration because the geometric features involved are commonly occurring structures (e.g. building façades, bridge surfaces, highway signs and hanging power cables) that are usually captured during the actual survey. In addition to using a planar feature model for calibration, a novel and rigorous three-dimensional (3D) catenary curve model is proposed for geometric modelling of hanging cables to augment the calibration. The proposed calibrations were examined with several different combinations of groups of planar and catenary features and the resulting analysis suggests that the in situ calibrations are effective when compared to the manufacturer’s dedicated calibration, with the overall point cloud accuracies for plane fitting being 5.5 cm and 5.4 cm for the vertical and horizontal directions, respectively. It has been successfully demonstrated that the proposed method can be used in a scene having no building façades but only some long hanging cables and horizontal ground surfaces. This is particularly useful for rural areas or inter-city/provincial highways where building façades cannot commonly be captured. Parameter correlations in the calibrations were also addressed. It has also been shown that using catenary features in addition to planar features for the calibration can help de-correlate some parameters and improve the overall accuracy. The in situ nature and the high flexibility of integrating different features of the calibration make the proposed method straightforward for most end-users. 相似文献
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Efstratios Stylianidis Daniela Poli Martin Hofer Armin Gruen Victor Sanchez Martin 《International Journal of Digital Earth》2020,13(8):854-885
ABSTRACT A 3D forest monitoring system, called FORSAT (a satellite very high resolution image processing platform for forest assessment), was developed for the extraction of 3D geometric forest information from very high resolution (VHR) satellite imagery and the automatic 3D change detection. FORSAT is composed of two complementary tasks: (1) the geometric and radiometric processing of satellite optical imagery and digital surface model (DSM) reconstruction by using a precise and robust image matching approach specially designed for VHR satellite imagery, (2) 3D surface comparison for change detection. It allows the users to import DSMs, align them using an advanced 3D surface matching approach and calculate the 3D differences and volume changes (together with precision values) between epochs. FORSAT is a single source and flexible forest information solution, allowing expert and non-expert remote sensing users to monitor forests in three and four (time) dimensions. The geometric resolution and thematic content of VHR optical imagery are sufficient for many forest information needs such as deforestation, clear-cut and fire severity mapping. The capacity and benefits of FORSAT, as a forest information system contributing to the sustainable forest management, have been tested and validated in case studies located in Austria, Switzerland and Spain. 相似文献