共查询到20条相似文献，搜索用时 93 毫秒
1.
司马依·麦麦提 《测绘与空间地理信息》2023,(8):214-217
随着遥感大数据时代的到来,多传感器、多时相、多分辨率的卫星遥感数据的获取手段和速度超越了以往任何时期,深度学习作为当前最热门的一种机器学习方法推动着人工智能走向各个领域。本文阐述了一种面向变更调查的自动变化检测技术,并在新疆全域开展技术落地应用,深度分析了自动变化检测模型应用效果,通过多轮技术攻关最终实现省域空间的高精度、高效率变化检测。 相似文献
2.
遥感影像上人工地物的自动化和智能化采集一直是摄影测量与遥感技术长期探索的一个主要课题。道路是重要的基础地理信息,随着遥感影像分辨率的提高,道路特征的复杂化对道路提取方法形成了挑战。针对高分辨率城区遥感影像道路提取中存在的问题,结合多分辨率分析思想、模板匹配原理和LSB-Snake模型,综合提出了一种适用于城区高分辨率遥感影像的道路半自动提取方法。实验表明该方法可以在很大程度上弥补LSB-Snake模型的不足,同时具有良好的抗噪声能力,可作为一种有效手段应用在城区高分辨率遥感影像的道路提取中,具有很好的交互性、可靠性和高效性。 相似文献
3.
基于小波分析的地貌多尺度表达与自动综合 总被引：28，自引：5，他引：28
基于小波多分辨率分析原理，给出了一种尺度依赖的地表形态抽象与表达方法。基于该方法研究了多尺度的地貌自动综合，提出了利用小波系数的范数比作衡量相应尺度综合程度的数量化指标，并结合实例予以说明。 相似文献
4.
多源遥感数据综合应用是遥感发展的必然趋势,统一的遥感数据空间尺度分级模型是多源数据集成与综合应用的基础。虽然已有多种空间尺度分级模型,但很多主流模型并非出于分尺度综合应用目的,缺乏客观的比较和评价。国家基本比例尺系统作为经过论证、中国应用面最广泛、接受度最高的一种尺度分级系统,是以应用为导向的遥感数据空间尺度分级模型的最优参照系。从不同视觉精度下国家基本比例尺对图像空间分辨率的需求出发,比较各空间尺度分级模型的层级分辨率与需求分辨率的匹配情况,包括OGC Well Known Scale Set的Global CRS84Pixel和Google Maps Compatible,以及NASA World Wind、Google Map、百度地图、天地图等软件平台采用的层级格网系统,以及"五层十五级"遥感数据组织模型,通过对数据信息冗余度的分析,对各个模型进行了评价。结果表明,在高视觉精度应用需求下,"五层十五级"模型与基本比例尺精度要求具有较明显的匹配优势,其次为OGC Google Maps Compatible模型和天地图模型,其余模型平均数据冗余倍数在2倍左右;在低视觉精度应用需求下,"五层十五级"模型平均数据冗余度仍为最低,其次为Google Map模型,其余模型平均数据冗余倍数都在2倍以上。 相似文献
5.
文中强调通常的分维与扩展分维的本质差异。作者主张综合应遵循非自相似准则,即非线性原理。文中用D-P方法建模,因为后者所使用的限差ε直接和地图曲线信息综合的D-P方法相联系。关键问题是要将多分辨率序列与多比例尺序列实现某种对应。本文用基于河流自身的自动预综合机理分析方法建立分维模型参量(L)序列与地图信息综合主要参量(M)序列之间的映射关系,最终把地图比例尺序列Mi与粗视化限差序列iε联系起来,借此实现基于扩展分维的河流自动综合。 相似文献
6.
简要介绍了Agent的起源、发生和发展以及技术和基本特点.在分析了自动综合的现状和发展需求的基础上,把Agent技术引入到自动综合中来,并利用Agent的自治性、反应性、能动性、学习性、通信性和移动性等基本特性,提出了一种基于Agent的地图综合模型,即自动综合的监控Agent模型,用于对自动综合的综合行为进行监控.同时地图综合知识库的建立和应用,大大提高了Agent的自动反应能力,对自动综合的综合过程起到了强有力的保障和监督作用,文中最后列举了相应的例子. 相似文献
7.
10m级分辨率卫星影像道路语义模型研究 总被引：1，自引：1，他引：0
道路模型是遥感影像自动/半自动道路提取中重点研究的内容。本文首先介绍了传统的影像道路模型并指出其中不足,从语义的角度阐述了建立道路语义模型的必要性,概述了10m级分辨率卫星遥感影像道路的表现特征,分析了遥感影像道路提取涉及的各层次语义信息,建立了面向10m级分辨率卫星遥感影像的道路语义模型,详细阐述了语义模型的实现过程。将语义模型应用于笔者开发的遥感影像道路提取系统,通过新疆阿图什Spot5多光谱遥感影像道路提取试验,验证了道路语义模型的有效合理性。 相似文献
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9.
海岸线自动综合方法综述 总被引：2，自引：0，他引：2
线要素自动综合一直是自动制图综合中的重要研究内容.对海图线要素的自动综合背景、现状和发展方向进行了论述,对数字海图要素的自动选取方法进行了研究,并分析了海岸线制图综合的基本原则和分形、分维方法在海岸线自动综合中的应用.在对线状要素的分布规律和特征以及制图综合指标的确定进行研究的基础上,提出了海岸线自动综合的量化、模型化、算法化的一些具体实现方法,初步实现了一定程度上的海岸线自动综合. 相似文献
10.
地图自动综合中的监控Agent模型构造 总被引：4，自引：1，他引：4
简要介绍了Agent的起源、发生和发展以及技术和基本特点。在分析了自动综合的现状和发展需求的基础上，把Agent技术引入到自动综合中来，并利用Agent的自治性、反应性、能动性、学习性、通信性和移动性等基本特性，提出了一种基于Agent的地图综合模型，即自动综合的监控Agent模型，用于对自动综合的综合行为进行监控。同时地图综合知识库的建立和应用，大大提高了Agent的自动反应能力，对自动综合的综合过程起到了强有力的保障和监督作用，文中最后列举了相应的例子。 相似文献
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12.
The multiresolution character of collocation 总被引：3，自引：0，他引：3
C. Kotsakis 《Journal of Geodesy》2000,74(3-4):275-290
An interesting theoretical connection between the statistical (non-stochastic) collocation principle and the multiresolution/wavelet
framework of signal approximation is presented. The rapid developments in multiresolution analysis theory over the past few
years have provided very useful (theoretical and practical) tools for approximation and spectral studies of irregularly varying
signals, thus opening new possibilities for `non-stationary' gravity field modeling. It is demonstrated that the classic multiresolution
formalism according to Mallat's pioneering work lies at the very core of some of the general approximation principles traditionally
used in physical geodesy problems. In particular, it is shown that the use of a spatio-statistical (non-probabilistic) minimum
mean-square-error criterion for optimal linear estimation of deterministic signals, in conjunction with regularly gridded
data, always gives rise to a generalized multiresolution analysis in the Hilbert space L
2(R), under some mild constraints on the spatial covariance function and the power spectrum of the unknown field under consideration.
Using the theory and the actual approximation algorithms associated with statistical collocation, a new constructive framework
for building generalized multiresolution analyses in L
2(R) is presented, without the need for the usual dyadic restriction that exists in classic wavelet theory. The multiresolution and `non-stationary' aspects of the statistical collocation approximation
procedure are also discussed, and finally some conclusions and recommendations for future work are given.
Received: 26 January 1999 / Accepted: 16 August 1999 相似文献
13.
This letter presents a novel method of supervised multiresolution segmentation for synthetic aperture radar images. The method uses a region-based half-tree hierarchical Markov random field model for multiresolution segmentation. To form the region-based multilayer model, the watershed algorithm is employed at each resolution level independently. The nodes of a quadtree in the proposed model are defined as regions instead of pixels. The relationship over scale is studied, and the region-based upward and downward maximization of posterior marginal estimations are deduced. The experimental results for the segmentation of homogeneous areas prove the region-based model much better in terms of robustness to speckle and preservation of edges compared to the pixel-based hierarchical model and the Gibbs sampler with the single-resolution model 相似文献
14.
GIS中的地形可视化与地形模型简化 总被引：3，自引：0，他引：3
地形可视化是一门以研究数字地形模型或数字高程域的显示、简化、仿真等内容的学科 ,属于计算机图形学的一个分支。GIS中的地形可视化有助于用户对空间数据相互关系以及分析结果的直观理解。文中分析了GIS中地形建模的基本问题 ,研究了地形模型简化与多分辨率地形模型的发展 相似文献
15.
A new machine learning paradigm for terrain reconstruction 总被引：1，自引：0，他引：1
《Geoscience and Remote Sensing Letters, IEEE》2006,3(3):382-386
Terrain models that permit multiresolution access are essential for model predictive control of unmanned aerial vehicles in low-level flights. The authors present the extreme learning machine (ELM), a recently proposed learning paradigm, as a mechanism for learning the stored digital elevation information to allow multiresolution access. We give results of simulations designed to compare the performance of our approach with two other approaches for multiresolution access, namely: 1) linear interpolation on Delaunay triangles of the sampled terrain data points and 2) terrain learning using support vector machines (SVMs). The results show that to achieve the same mean square error during access, the memory needed in our approach is significantly lower. Additionally, the offline training time for the ELM network is much less than that for the SVM. 相似文献
16.
基于小波变换的大面阵CCD相机影像亮度不一致性消除算法 总被引：1，自引：0，他引：1
针对大面阵CCD影像亮度不均匀现象，提出一种基于小波变换的影像亮度不一致性消除算法。在分析像面光照模型的基础上，构造出光照模型的仿真影像，通过分析仿真影像的小波变换系数，发现影像亮度不一致信息集中反映在小波的近似系数之中。利用这一特性，先将数字相机原始影像进行多尺度小波分解，并对近似系数取对数，然后施加一个衰减算子，对近似系数的对数进行非均匀改正，将改正后的系数取指数，再对近似系数进行线性拉伸，同时根据人类视觉系统对不同方向细节敏感度的不同，对不同方向的细节系数进行不同幅度的线性拉伸，以突出图像细节，最后通过影像重建，获得均匀亮度的航空影像。实验结果显示，该算法具有很好的匀光效果，同时能够较好地保持影像细节特征。 相似文献
17.
Multiresolution Terrian Model in GIS 总被引：1，自引：0，他引：1
DEM, which becomes a major component of geographic information processing in earth and engineering sciences, has been studied in the GIS literature for a long time. We use DEM to represent the terrain in GIS. The more data are available, the better representations of a terrain can be built. But not all tasks in the framework of a given application necessarily require the same accuracy, and even a single task may need different levels of accuracy in different areas of the domain. Multiresolution models, such as LOD, offer the possibility of representing and analyzing a terrain at a range of different levels of detail. In this paper, some key issues in multiresolution DEM model are studied. Three main models are focused on Hierarchical TIN(HTIN), multiresolution terrain model based Delaunay and Hierarchical Dynamic Simplification. The advantages and disadvantages of these methods are analyzed. The technology of tile to tile edge match is studied to maintain the consistency between adjacent edges and tile edges in HTIN model. And the Hypergraph based Objected oriented Model(HOOM) is presented to divide and code spatial area and describe the terrain feature in adding and deleting points based on Delaunay rule retriangulating. The conclusions have been drawn in the end. 相似文献
18.
On the Earth and in its neighborhood, spherical harmonic analysis and synthesis are standard mathematical procedures for
scalar, vector and tensor fields. However, with the advent of multiresolution applications, additional considerations about
convolution filtering with decimation and dilation are required. As global applications often imply discrete observations
on regular grids, computational challenges arise and conflicting claims about spherical harmonic transforms have recently
appeared in the literature. Following an overview of general multiresolution analysis and synthesis, spherical harmonic transforms
are discussed for discrete global computations. For the necessary multi-rate filtering operations, spherical convolutions
along with decimations and dilations are discussed, with practical examples of applications. Concluding remarks are then included
for general applications, with some discussion of the computational complexity involved and the ongoing investigations in
research centers.
Received: 13 November 2000 / Accepted: 12 June 2001 相似文献
19.
The ionospheric effect is one of the major errors in GPS data processing over long baselines. As a dispersive medium, it is
possible to compute its influence on the GPS signal with the ionosphere-free linear combination of L1 and L2 observables,
requiring dual-frequency receivers. In the case of single-frequency receivers, ionospheric effects are either neglected or
reduced by using a model. In this paper, an alternative for single-frequency users is proposed. It involves multiresolution
analysis (MRA) using a wavelet analysis of the double-difference observations to remove the short- and medium-scale ionosphere
variations and disturbances, as well as some minor tropospheric effects. Experiments were carried out over three baseline
lengths from 50 to 450 km, and the results provided by the proposed method were better than those from dual-frequency receivers.
The horizontal root mean square was of about 0.28 m (1σ). 相似文献
20.
改进的ELU卷积神经网络在SAR图像舰船检测中的应用 总被引：1，自引：0，他引：1
随着航天技术的发展,我国SAR载荷的探测体系呈现多种类、多分辨率的发展趋势。传统的检测识别方法很难适应多分辨率、多种类的SAR图像数据,从而需要寻求一种能从多分辨率的图像数据中提取有效特征的方法。智能化发展非常迅速,本文基于SAR图像的特点,提出了改进的ELU激活函数卷积神经网络的方法,建立了结合ELU激活函数和二次代价函数的深度学习模型。同时,在训练样本中建立样本特征与所在分类中心的距离函数,用模糊支持向量机（FSVM）对提取的特征进行了分类。试验结果表明,本文方法提高了SAR图像舰船检测的抗噪性,并且检测率达到了98.6%。 相似文献