面向对象的高分辨率遥感影像分类在卫片执法中的应用研究

近年来,随着我国城市化进程不断向前迈进,城市用地日趋紧张起来,在这样的背景之下,出现了诸多的违法用地、建设等事端。近年来,为了有效地打击此类的违法行为,确保我国土地使用更加科学、合理,有关部门逐渐在对土地动态监测的过程中采用了高分辨率遥感影像分类技术。本文基于此,分析探讨了面向对象的高分辨率遥感影像分类在卫片执法中的应用。     

WorldView2影像融合之PanSharpening算法与HCS算法对比分析

WorldView2卫星影像2010年4月份已投放市场,但对此类影像的处理国内研究依然不多。本文主要从当前最为成熟的两个影像融合算法入手,探讨最为适宜此类影像处理的方法。经过笔者研究分析,Erdas软件的HCS融合算法较为出色,是此类影像融合的最佳算法。     

基于高分辨率遥感影像的城市道路信息提取

遥感技术的快速发展,遥感影像的分辨率也在不断提高,在遥感影像中,道路信息是一种非常重要的基础地理信息数据,在人们的生活、经济中都发挥着重要作用。在高分辨遥感影像越来越普遍的情况下,研究高分辨率遥感影像道路提取的方法也有很大的实际意义。     

一种高分辨率城区遥感影像分割方法

高分辨率遥感影像具有丰富的地物细节信息。本文将均值漂移算法应用到高分辨率城市区域遥感影像的分割中,并对其实验结果进行了分析,为下一步的研究提供理论支持。     

商空间理论下面向对象的遥感影像分类

传统的分类方法仅仅基于像素光谱特征,不适合于高分辨率遥感影像.本文提出了一种新的基于商空间理论,面向对象的高分辨率遥感影像分类方法,即综合云模型、模糊支持向量机和决策树的分层合成分类技术.针对决定分类效果的两个因素,影像分割和分类算法,分别做出了一些改进.第一,本文提出了一个自适应的基于云模型的区域增长分割策略.第二,...     

面向对象的协同模板分类模型研究

协同模板延承了模板在工程CAD设计中的优势,又包含适合协同设计属性.从协同模板功能结构的角度对协同模板进行分类,分为元级,特征级与复合级,并采用面向对象方法表现其层次结构,建立了协同模板对象模型和协同模板库,提高了基于协同模板的协同CAD设计效率.在基于协同模板建模系统(CoTM)中,该模型在设计个人沙发等实例中得到了较好的应用.     

面向对象的高分辨遥感影像信息提取技术

面向对象的影像信息提取技术已经成为了解决高分辨率遥感影像计算机解译的主要手段。本文从面向对象影像信息提取技术中图像多尺度分割这一关键步骤出发,对其基本思想和主要算法FENA进行了叙述。最后本文以eCognition软件中的多尺度分割算法为例,进行了相关实验,证明了面向对象的遥感影像分析技术的可行性及在计算机解译中的优势性。     

浅论遥感影像的应用

介绍了遥感影像的发展动态及其国防建设、经济发展和社会发展等领域的应用。     

基于遗传算法的遥感影像匹配定位的研究

提出了利用遗传算法进行遥感影像的匹配定位,将遗传算法优良的全局寻优特点应用于原始影像和目标影像的匹配,实现了具有旋转畸变条件下的遥感影像匹配定位,实验结果表明,该算法不仅具有很高的定位精度,而且具有较高的定位效率。     

基于ScSPM-Reranking的高分辨率遥感影像的检索

为了从高分辨率遥感影像中获取详细的地表地物信息,为城市规划、环境监测以及灾情分析提供可靠的数据,进行了高分辨率遥感影像的检索研究,包括对图像的特征提取和图像之间相似度的描述。为了提高图像检索精度,运用了采用稀疏编码(Sc)的空间塔式匹配(Sc SPM)技术和重排序(Reranking)技术,提出了基于Sc SPM结合Reranking(ScSPM-Reranking)的遥感高分辨率影像的检索方法。该方法首先使用Sc SPM提取空间场景的特征,然后结合这些特征使用cityblock距离进行初步检索,最后对初步检索的结果进行Reranking排序,获得高精度的检索结果。同其他检索方法进行了对比实验,实验结果证明,该方法具有较高的检索精度。     

Texture augmented analysis of high resolution satellite imagery in detecting invasive plant species

Abstract

During recent decades, a considerable number of alien species have been brought into Taiwan and have caused significant impacts to local ecosystems and biodiversity. High resolution satellite imagery can provide detailed spatial characteristics over a large area and has a great potential for accurate vegetation mapping. However, most traditional multispectral image classification techniques focus on spectral discrimination of ground objects and may overlook useful spatial information provided by high resolution images. To achieve the best result, analysis of high resolution imagery should also incorporate spatial variations of the data. Therefore, this paper has looked into using a texture augmented procedure to analyze a high resolution satellite (QuickBird) image in order to detect an invasive plant species (Leucaena leucocephala) in southern Taiwan. Samples of primary vegetation covers were selected from the image to determine suitable texture analysis parameters for extracting texture features helpful for classification. Validation with ground truth data showed that the analysis produced high accuracies in detecting the target plant species and overall classification for primary vegetation types within the study site.     

遥感影像在地外文明探索中发挥作用

六十年代以来,已向月球和水星、金星、火星、木星、土星、天王星,海王星等太阳系行星发去数十个空间遥感器,并已向地球上的地面站发回大量信息,使科学家们得以发现很多有趣的事物,显示为地球外生物高度文明的作为。本文着重介绍了在月球上发现的异常景物,显示可能在多年以前,曾有高度文明的生物在月球着陆。     

A high efficiency single molecule localisation algorithm with sub-pixel resolution based on fluorescence images

We introduce a technique of fast single molecule localisation including image de-noising and Gaussian mask sub-pixel refinement (IDGM) with the characteristics of simplicity, great computational efficiency as well as high accuracy and precision. The image de-noising corrects images suffering from background and shot noise, and the Gaussian mask is used to derive the centres of single molecules with sub-pixel resolution. We quantitatively evaluate the performance of IDGM compared to two-dimensional direct Gaussian fitting (2DDGF) on 1000 simulated images at variable signal-to-noise ratios (SNRs), where the single molecule diffraction spot is simulated as a point spread function distribution. It is shown that IDGM performs better than 2DDGF in terms of accuracy and precision for all tested SNRs. In addition, the execution time is shorted by one order of magnitude, making the IDGM algorithm suitable for localising single molecules especially for on-line or time-critical applications.     

Image processing in remote sensing data analysis: The state of the art

Image analysis techniques applicable to remote sensing data are reviewed, with emphasis on recent developments. The topics covered include image modelling, feature detection, segmentation and classification, texture analysis, and matching.     

基于离散频谱分析的自由衰减振动信号的幅值恢复

加矩形窗截断后的自由衰减振动信号可以看成无限长谐波信号与单边指数函数及矩形窗的乘积,从理论上证明了其连续谱峰值点的频率和相位就是信号的实际频率和相位。分析了连续谱的离散频谱幅值误差影响因素,提出一种新的求解幅值恢复系数的方法,该方法根据已估计得到的阻尼、频率和相位重构幅值为给定值的新信号,然后求解加有限长度指数窗幅值恢复系数。当理论频率位于某条离散谱线上,幅值基本无误差。理论分析和仿真表明,采样频率、阻尼和频率误差的变化对幅值分析精度的影响很大,并且是相互作用的,但当理论频率与采样频率之比fn/fs在区间(0.25,0.4)内,且阻尼在区间(0.005,0.02)时,不论频率误差多大,分析精度均很高,幅值误差小于5%。相邻频率成分产生严重模态耦合时,不能使用该方法。     

Image analysis of liberation spectrum of coarse particles

Determination of liberation spectrums by using MLA and QEMSCAN techniques require polished sections and fine particles. These techniques cannot be performed in-situ and for coarse particles. Thus, the focus of this technical note is to investigate whether the image analysis method can be used for the determination of liberation spectrum for coarse particles. Two methods were used to determine the liberation spectrum. In the first method, the liberation spectrum was obtained using the small and large diameter of particles. In the second method, the liberation spectrum was determined using the small and large diameter of particles as well as the shape correction diameter. The results showed that the image analysis can be used to successfully determine the liberation spectrum. The composition of composite particles was significantly improved when the stereological correction was used i.e. the square root of the mean square error for the particle composition using the method 1 was 1.25% while that using the method 2 was 0.60%. The proposed method might be used for the determination of liberation spectrum of high-grade real coarse particles. However, this requires a significant amount of future work.     

模态分析在辐射制冷器设计中的应用

辐射制冷器主要为红外探测器提供合适的低温工作条件,是星载红外遥感探测系统的重要组成部分,其可靠性的高低和制冷性能的好坏将直接影响红外成像质量和遥感卫星的成败.建立了W型辐射制冷器结构的有限元模型,应用MSC/Nastran软件完成了模态、静力、正弦振动响应计算,进行了结构强度和振动模态分析,预示和验证了辐射制冷器的结构性能,为其结构设计改进提供了可靠理论依据.     

Performance analysis of neural networks for classification of medical images with wavelets as a feature extractor

In this article, we analyze the performance of artificial neural network, in classification of medical images using wavelets as feature extractor. This work classifies the mammographic image, MRI images, CT images, and ultrasound images as either normal or abnormal. We have tested the proposed approach using 50 mammogram images (13 normal and 37 abnormal), 24 MRI brain images (9 normal and 15 abnormal), 33 CT images (11 normal and 22 abnormal), and 20 ultrasound images (6 normal and 14 abnormal). Four kind of neural network models such as BPN (Back Propagation Network), Hopfield, RBF (Radial Basis Function), and PNN (Probabilistic neural network) were chosen for study. To improve diagnostic accuracy, the feature extracted using wavelets such as Harr, Daubechies (db2, db4, and db8), Biorthogonal and Coiflet wavelets are given as input to the neural network models. Good classification percentage of 96% was achieved using the RBF when Daubechies (db4) wavelet based feature extraction was used. We observed that the classification rate is almost high under the RBF neural network for all the dataset considered. © 2015 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 25, 33–40, 2015     

TiO_2-聚乙烯复合膜的制备及红外光谱对其膜层结构的表征

开发了以Ｔｉ４＋为桥联剂制备无机－有机复合膜的新方法以自制的硅藻土多孔陶瓷为基膜（支撑体），使用浸涂法－热致相转化法相结合制备了ＴｉＯ２－聚乙烯复合膜，并用红外光谱表征了复合膜层与层之间的结合方式和强度，支撑体中的ＳｉＯ２通过Ｔｉ４＋与聚乙烯的分子之间形成了新的化合物型膜层