郑州市经济技术开发区土地动态遥感监测分析

为了加强郑州市经济技术开发区土地利用监管,突出经济技术开发区的产业优势,利用2004年的IKONOS影像图、2007年的QuickBird影像图为数据源,应用ERDAS IMAGINE等遥感图像处理软件,采用人机交互信息提取方法获取开发区的土地利用现状及动态变化信息,并对获取信息进行分析。分析结果表明:经济技术开发区土地利用方面存在建设用地规模增长过快、后备土地资源不足、土地集约利用程度不高、土地绿化率低等问题。针对发现的问题,提出了相应的对策和建议。     

2007年郑州市经济技术开发区土地利用动态遥感监测分析

摘要：为了加强郑州市经济技术开发区土地利用监管,突出经济技术开发区的产业优势,利用2004年的IKONOS影像图、2007年的QuickBird影像图为数据源,应用ERDAS IMAGINE等遥感图像处理软件,采用人机交互信息提取方法获取开发区的土地利用现状及动态变化信息,并对获取信息进行分析。分析结果表明：经济技术开发区土地利用方面存在建设用地规模增长过快、后备土地资源不足、土地集约利用程度不高、土地绿化率低等问题。针对发现的问题,本文提出了相应的对策和建议。     

基于Pleiades-1高分辨率卫星影像的干旱沙区遥感影像分类——以甘肃民勤青土湖为例

研究旨在应用高分辨率遥感卫星影像对干旱沙区的植被进行调查、监测和统计。以甘肃省民勤县石羊河下游的青土湖为研究对象,运用法国Pleiades-1卫星的影像数据,通过面向对象分类方法对沙区的植被信息进行提取分类,对分类结果进行精度评价。结果表明,面向对象分类的方法提取精度达到95%,Kappa系数为0.8035,分类结果精度较高,有效地避免了基于像素分类方法的噪声和光谱的影响,具有极强的实用性,为高分辨率卫星影像分类提供了新的思路和方法。     

生防细菌对水稻纹枯病防效及对水稻产量形成影响的研究

从田间筛选到对水稻纹枯病具有强烈拮抗作用的生防菌H50，G22，B34，分别测定了菌液浸种及喷施处理对水稻纹枯病菌无融合菌丝群AG－1的防治效果和对水稻产量因素影响，分别以黄绿木霉，井风霉素，清水为实验对照，结果表明，用H50，G22及B34浸种处理，其中B34防效相对较好，可达到48．74％，H50对分蘖数，株高和实粒数有较好 促进作用，喷施处理中，H50防效达60．75％，三种生防菌和井风霉素混施处理，防效可达67．96％，显著高于井风霉对照，菌液混施处理和H50菌液对实粒数，千粒重，结实率和穗长都有明显的促进作用。     

利用无人机遥感技术提取农作物植被覆盖度方法研究

基于无人机的遥感信息获取技术已广泛应用在农业领域。无人机遥感平台获取农作物信息技术具有高时效、高分辨率、低成本、快速、准确等特点,是目前精准农业中农田信息获取的重要手段之一。利用无人机遥感技术获取可见光影像,以棉花、花生和玉米为研究对象,选取不同的植被指数进行可见光图像阈值分割,结合研究区域可见光影像监督分类结果,确定3种作物提取植被覆盖度方法。试验结果表明,利用无人机可见光图像植被指数阈值分类方法,可以有效提取作物植被覆盖度。该方法对于棉花、花生和玉米3种作物植被覆盖信息的提取精度较高。     

利用时空图方法进行车流量实时检测

提出了一种新的时空图计算方法,并且利用时空图对车流量进行实时检测。该方法中,首先使用时空图将交通监控的视频转换成空间信息与时间信息都包含在内的连续图像,然后对时空图进行边缘提取、图像分割等处理,利用时空图上车辆的边缘、形状和占道率等信息,计算出一段时间内的车流量。本实验所用的视频由架在路边建筑物上的摄像机拍摄获得。实验结果表明,该方法能够实时、有效、准确地检测出一段时间内的交通车流量,并且能够对实时的路况进行监测,具有很好的实用价值。     

基于Landsat-8 影像森林植被信息计算机自动提取研究

Landsat-8能够提供15 m全色波段和30 m分辨率的多光谱波段,Landsat-8上携带有OLI（operational land imager,陆地成像仪）和TIRS（thermal infrared sensor,热红外传感器）2个主要载荷,OLI陆地成像仪包括9个波段,TIRS包括2个热红处波段,全色波段Band8波段范围较窄,这种方式可以在全色图像上更好区分植被和无植被特征。本研究以攸县为例,采用Landsat-8遥感影像为数据源,进行缨帽变换及主成分分析处理,利用决策树分类模型进行提取。结果表明：Landsat-8遥感数据经过缨帽变换和主成分分析处理后,增强纹理信息,突出各地物的特征,把各地物在经过处理后的灰度值作为决策树分类模型的阈值,利用计算机自动提取,提取的总体精度为84.7%,攸县森林植被的面积为150911.7 hm2与以往的只利用波段的灰度值及植被指数等作为阈值相比,精度明显提高,方法也得到改善,得到了比较好的提取结果。     

板栗图像的低层处理及边缘检测

分析了板栗品质检测中的图像低层处理方法,并进行了边缘检测。利用白色背景下,图像的R分量灰度直方图进行图像与背景的分离,利用imcontour函数得到虫害板栗的边缘图像,为识别正常板栗与虫害板栗提供了基础。     

基于Visual c++矩形标尺智能识别

通过利用图像处理和图像识别领域的边界分割Robert局部边缘检测算子方法及梯度算子区域迭代的阈值图像分割算法相结合来对图像特征进行二次提取,不同于单独采用边界分割与区域分割算法,该算法通过对边缘检测结果的差分结果的迭代分析,有效的增强了识别算法对识别条件的适应性及识别精度,并采用Visual C 编程进行计算机图像辅助设计作为实现手段.     

机器视觉检测鲜烟叶的分级装置设计

针对农民在烟叶送烤前对烟叶分级的非重视度和非客观性等问题,本文提出基于机器视觉技术的烟叶图像检测分类方法对烟叶编烟送烤前进行成熟度划分,设计了全自动化的鲜烟叶检测分级装置。该系统的机械结构由自动上样抓取烟叶机构、烟叶输送台、检测机构,分拣机构等四个部分组成。自动上样的烟叶在传送带上被CCD检测并进行图像处理。首先对图像的噪点采用邻域平均和中值滤波组合的方法进行区域去噪处理；使用最小误差阈值分割方法分离背景和烟叶,然后增强图像信号,提取感性区域的颜色信息。采用烟叶的4个特征信息(R,G,B颜色值和色调H值)来表征烟叶的级别特性。通过装置自主学习建立样本库,然后参考学习的样本库对未知样品进行检测分级。实验结果表明根据烟叶色泽的不同,相邻类型之间的色泽差异越大,分类准确度越高。检测分类的平均速度在2-3秒/片,满足现场即时检测要求。     

Single sample face recognition based on B-spline and image gradient

A single sample face recognition algorithm based on B-spline and image gradient is proposed. Image gradient method for face recognition has advantage of illumination invariant. But the recognition rate will be greatly decreased when the image contains noise which will seriously influence gradient information. Traditional methods to reduce noise smooth image at the same time and image gradient reorganization rate will be reduced. As the B-spline filter has the feature which can adjust the order, B-spline filter with different orders can be selected according to the image noise value to minimize noise while preserve image gradient information. Experiments prove that using B-spline and image gradient algorithm can achieve a better recognition rate than traditional filtering method on single sample face recognition problem.     

Noise-reduction of Digital Video Image Based on Time-recursive Filtering

With the analysis of the principle of time-recursive filter, the authors find that the nature of time-recursive filter is Weighted Mean Low-Pass filter and the relationship between filter coefficients and SNR and the artifact arising from the area where motion can not be tracked. One approach based on Automatic Control Method is proposed to solve the artifacts problem during the process of filtering and the authors designed the corresponding hardware based on FPGA and software respectively. The experimental results show that the time-recursive filtering is good at digital video image denoising and reduces the random noise of digital camera system.     

Error measure of filter used in optical wavelet transform for image data compression

This paper analyzs the error measure of filter used in optical wavelet transform for image data compression, designs a measure system for filter's error and implements it by using matlab platform, meanwhile, it indicat and overcom the shortage of Photoshop in image statistical characteristic analysis. The batch operation and the precision of histogram information. Experiment results have proven its correctness.     

Filter Design of Wavelet Transform for 2-D Image

The filter design is the key to 2-D image wavelet transform. Based on the studying of image properties and 1-D wavelet theory,the authors describe a parasymmetry boundary extension method and realize 2-D discrete wavelet transform by means of 1-D wavelet transform according to correlation of adjacent pixels. Also,it is proved that the discrete wavelet transform of inverse data stream in row and the sign of discrete detail signal will be inversed,and that a filter of wavelet transform based on symmetry of bi_orthogonal filter is constructed. The test has proved the fine reconstruction and perfect SNR.     

Filtering Construct of Adaptive Filter Grou Pwith Multi-scale Decomposition

The principle and method of the adaptive filter and the filtering with wavelet transform were analyzed, and the model and method of adaptive filtering with wavelet transforms for the transient signal was established. The separated noise of signal by the multi-scale decomposition of wavelet transforms, was the input signal of adaptive filter, and accordingly the optimal filtering method of signal-noise decomposition was realized. By the adaptive filter grou Pbased on the wavelet transform, the optimal filtering to the multi-noise of signal is achieved at the same time, and the method presented in this paper has the excellent filtering capability. Examples of application demonstrate that this method presented is excellent to realize the optimal estimate to the valuable signal and noise of the transient signal in the same frequency segment.     

渔业科学数据智能RSS阅读器的设计研究

针对传统RSS阅读器在实际应用中接收大量冗余信息的问题,提出一种智能化的RSS阅读器。该阅读器基于渔业科学数据平台,采用向量空间模型,运用中文分词、对象持久化等技术实现智能原理,设计实现了智能化RSS阅读器。实验证明：该阅读器的过滤有效性为86.2%,过滤准确性为82.4%,能够较好地过滤掉与用户不相关的信息。应用结果表明：渔业科学数据智能RSS阅读器的实现可使用户获得更精准的信息。     

汽车转弯自动照明控制系统数据采集滤波方法

为了减少汽车转弯自动照明控制系统数据滤波处理中的延时,在滑动中值滤波方法基础上,提出了一种带补偿的限幅滑动中值滤波算法,通过补偿的方式跟随信号的变化趋势。该算法通过2个步骤完成滤波,先对数据进行带补偿方式的限幅处理,再进行滑动中值滤波处理。该算法综合了滑动中值滤波法的实时性以及限幅滤波法对偶然性干扰滤除的有效性,实现更准确的滤波。仿真与实测结果表明,与滑动中值滤波方法相比较,改进后的算法滤波能够实时地滤除数据中的干扰,处理时间可减少62%,滤波效果较好,且速度信号的数据滞后时间较短,实时性较高,满足系统设计要求。     

Temporal-spatial Filtering in the Preprocessing of Clinical EEG Signals

EEG spot-recording for clinical patients in the bed is always advocated due to easing patients and making them comfortable. But EEG signals recorded in the ward exposed to various noisesand interference is less effective in the EEG analysis. Atemporal-spatial filter is designed for noise removing of clinical EEG signals, the first filtering is temporal filtering using band-pass filter, and the second filtering is spatial filtering with ICA-based spatial filter. Experimental results indicate that various noises and interferences, such as power interference, blinking, eyes movements, muscle moments, ECG artifacts, etc., are removed effectively, individually or simultaneously.     

Digital Filtering with Zero Phase Error

Aiming at the problem of phase error caused by normal filters in signal processing , summarizes the important meaning of digital filtering with zero phase error. Puts forward RRF Filtering which is a new way to realize digital filtering with zero phase error through reversing the time serials of the signal. Another way to realize digital filtering with zero phase error is suggested through reversing the time serials of normal filter. Testifies the way to realize digital filtering with zero phase error. Points out how to design the digital filter with zero phase frequency peculiarity. Solves the problem of phase error in DSP.     

A Fast Median Filtering Algorithm

A fast median filtering algorithm basing on the coherence of data in adjacent windows is presented.During median filtering,only the first median value is found by conventional squencing algorithm,the other median values are obtained by bisecting search method and quickinserting new element in sequenced window.For convenience of moving filter window along signal data,a data structure is desinged,which can make the new input element to cover output element and greatly reduce the quantity of computation.A 2-dimensional fast median filtering method by moving filter window along snack path is also introduced.