The decision of the optimal parameters in Markov random fields of images by genetic algorithm

This paper introduces the principle of genetic algorithm and the basic method of solving Markov random field parameters. Focusing on the shortcomings in present methods, a new method based on genetic algorithms is proposed to solve the parameters in the Markov random field. The detailed procedure is discussed. On the basis of the parameters solved by genetic algorithms, some experiments on classification of aerial images are given. Experimental results show that the proposed method is effective and the classification results are satisfactory.     

Spatiotemporal reflectance blending in a wetland environment

To understand the mechanism of wetland cover change with both moderate spatial resolution and high temporal frequency, this research evaluates the applicability of a spatiotemporal reflectance blending model in the Poyang Lake area, China, using 9 time-series Landsat-5 Thematic Mapper images and 18 time-series Terra Moderate Resolution Imaging Spectroradiometer images acquired between July 2004 and November 2005. The customized blending model was developed based on the enhanced spatial and temporal adaptive reflectance fusion model (ESTARFM). Reflectance of the moderate-resolution image pixels on the target dates can be predicted more accurately by the proposed customized model than the original ESTARFM. Water level on the input image acquisition dates strongly affected the accuracy of the blended reflectance. It was found that either of the image sets used as prior or posterior inputs are required when the difference of water level between the prior or posterior date and target date at Poyang Hydrological Station is <2.68 m to achieve blending accuracy with a mean average absolute difference of 4% between the observed and blended reflectance in all spectral bands.     

基于语义规则的高分辨率影像道路交叉口提取方法

为了准确提取遥感影像上道路交叉口目标,提出一种利用特征语义规则从高分辨率影像上提取道路交叉口的方法。该算法构建交叉口模型时将其视为由同质区域像素集合及区域轮廓边界构成的面对象,提取过程分为两步:1)利用辐射、纹理特征语义匹配提取交叉口候选区域;2)通过几何特征语义匹配筛选候选区域、识别交叉口属性。利用多源遥感影像对算法正确性及合理性进行验证,结果表明:算法能准确、完整地提取道路交叉口,可为影像道路网构建提供辅助信息。     

基于纹理合成的三维地形水墨风格渲染研究

提出了基于纹理合成的三维地形水墨风格渲染的方法,以规则格网DEM为数据源,基于OSG进行三维地形建模,在此基础上提取山体特征线,然后生成一幅灰度控制图像。对Efros01纹理合成算法进行改进,利用灰度控制图像指导水墨纹理的合成,将得到的纹理图像映射到三维地形上,实现对三维地形的水墨风格渲染,通过对水墨纹理样本的选择和纹理合成参数的设置能够实现对纹理合成过程的交互控制。结果表明,该渲染方法对三维地形的水墨风格渲染具有较好的效果。     

多桩段工程边坡3维建模方法研究

使用多桩段边坡的角点数据插值生成边坡场景的地形数据,运用OpenGL的自动化技术实现了多桩段边坡的3维建模。使用分块纹理映射的方法,克服了OpenGL渲染机对影像纹理大小的限制。应用低分辨率纹理映射和选择边坡增强纹理分辨率的映射的方法实现了场景的快速建立和漫游,解决了对多桩段边坡的大场景渲染效率与分析时需要的视觉效果的冲突问题。研究成果能够被用于实际工程中,为边坡的辅助设计提供了支持。     

一种纹理特征融合分类算法

分别利用多通道Gabor滤波器和马尔可夫随机场模型对纹理图像进行分析,得到两组特征影像。将上述两组特征影像进行融合,最后利用融合后的数据实现图像的分类。实验证明,基于上述方法的纹理特征融合分类算法大大提高了图像的分类精度。     

利用非线性扩散的半自动纹理图像分割

介绍了一种非线性扩散过滤器法从包含纹理的图像中获取灰度、尺度和方向信息,并形成经过耦合保边平滑的5通道向量值图像,对纹理图像的分割变为对此向量值图像的分割。针对半自动操作的特点,在合理的假设前提下,采用了多通道统计区域分割法。试验结果表明,本文的纹理分割方法能有效地利用重要纹理特征与灰度的混合信息,是一种半自动的无监督纹理图像分割方法。     

Accuracy improvement of ASTER stereo satellite generated DEM using texture filter

The grid DEM(digital elevation model) generation can be from any of a number of sources:for instance,analogue to digital conversion of contour maps followed by application of the TIN model,or direct elevation point modelling via digital photogrammetry applied to airborne images or satellite images.Currently,apart from the deployment of point-clouds from LiDAR data acquisition,the generally favoured approach refers to applications of digital photogrammetry.One of the most important steps in such deployment i...     

Evaluation of effectiveness of three fuzzy systems and three texture extraction methods for building damage detection from post-event LiDAR data

Building damage maps after disasters can help us to better manage the rescue operations. Researchers have used Light Detection and Ranging (LiDAR) data for extracting the building damage maps. For producing building damage maps from LiDAR data in a rapid manner, it is necessary to understand the effectiveness of features and classifiers. However, there is no comprehensive study on the performance of features and classifiers in identifying damaged areas. In this study, the effectiveness of three texture extraction methods and three fuzzy systems for producing the building damage maps was investigated. In the proposed method, at first, a pre-processing stage was utilized to apply essential processes on post-event LiDAR data. Second, textural features were extracted from the pre-processed LiDAR data. Third, fuzzy inference systems were generated to make a relation between the extracted textural features of buildings and their damage extents. The proposed method was tested across three areas over the 2010 Haiti earthquake. Three building damage maps with overall accuracies of 75.0%, 78.1% and 61.4% were achieved. Based on outcomes, the fuzzy inference systems were stronger than random forest, bagging, boosting and support vector machine classifiers for detecting damaged buildings.     

倾斜摄影测量的城市真三维模型构建方法

针对如何基于近年来新推出的倾斜摄影测量技术快速构建城市真三维模型的问题,在研究分析国内基于该技术构建三维模型方法的基础上,提出了利用Street Factory系统,结合少量人工干预快速构建城市真三维模型的方法。采用倾斜影像联合空中三角测量技术,实现了多角度倾斜影像的一体化区域网平差;通过多视影像密集匹配和自动纹理关联,实现了高精度真实三维模型的构建。基于RCD-30倾斜相机获取的西安大雁塔景区倾斜影像,开展城市真三维模型构建试验。结果表明,所提方法构建的城市真三维模型满足相关规范的要求,适合大规模区域城市三维模型快速构建,对测绘生产单位规模化生产具有一定的参考价值。