Detecting Differences in Crown Transparency Assessments Between Countries using the Image Analysis System Croco

Estimates of crown transparency calculated using the semi-automatic image analysis system CROCO were compared withthe visual estimates of survey teams from 12 European countries.For each of five European species (Norway spruce (Picea abies (L.) Karst.), silver fir (Abies alba Mill.), Scotspine (Pinus sylvestris L.), beech (Fagus sylvatica L.), oak (Quercus robur L.)) 15 trees were assessed. In 64\% of the comparisons, CROCO estimates and the survey teams' scores differed significantly, while differences between countries were significant in 58 % of all comparisons. We calculated Spearman's rank correlation and the standard deviation of the differences between CROCO and each country and between pairs of countries. We then computed the medians for CROCO and each country. CROCO and only a few countries hadfor all species a higher median correlation and lower median standard deviation than the median for the comparison between countries. In addition no country had a consistently higher correlation or lower standard deviation than CROCO. We concludethat CROCO can provide more consistent and less variable estimates of crown transparency than visual assessments and that it can serve as a reference to detect differences in visualtransparency assessments between countries over time.     

城市周边活断层探测中遥感技术的应用

详细探查城市及其周边地区的活断层对城市防震减灾具有重要的意义.现代卫星遥感技术可在大城市活断层探测的初期工作中发挥重要的作用.选择合适的遥感数据源和恰当的遥感数字图像处理方法是非常重要的,要有针对性地制定切实可行的遥感应用工作规范和工作流程,使之能最大限度地发挥遥感资源的作用.     

A Special Vegetation Index for the Weed Detection in Sensor Based Precision Agriculture

Many technologies in precision agriculture (PA) require image analysis and image- processing with weed and background differentiations. The detection of weeds on mulched cropland is one important image-processing task for sensor based precision herbicide applications. The article introduces a special vegetation index, the Difference Index with Red Threshold (DIRT), for the weed detection on mulched croplands. Experimental investigations in weed detection on mulched areas point out that the DIRT performs better than the Normalized Difference Vegetation Index (NDVI). The result of the evaluation with four different decision criteria indicate, that the new DIRT gives the highest reliability in weed/background differentiation on mulched areas. While using the same spectral bands (infrared and red) as the NDVI, the new DIRT is more suitable for weed detection than the other vegetation indices and requires only a small amount of additional calculation power. The new vegetation index DIRT was tested on mulched areas during automatic ratings with a special weed camera system. The test results compare the new DIRT and three other decision criteria: the difference between infrared and red intensity (Diff), the soil-adjusted quotient between infrared and red intensity (Quotient) and the NDVI. The decision criteria were compared with the definition of a worse case decision quality parameter Q, suitable for mulched croplands. Although this new index DIRT needs further testing, the index seems to be a good decision criterion for the weed detection on mulched areas and should also be useful for other image processing applications in precision agriculture. The weed detection hardware and the PC program for the weed image processing were developed with funds from the German Federal Ministry of Education and Research (BMBF).     

Precision Measurements from Very-Large Scale Aerial Digital Imagery

Managers need measurements and resource managers need the length/width of a variety of items including that of animals, logs, streams, plant canopies, man-made objects, riparian habitat, vegetation patches and other things important in resource monitoring and land inspection. These types of measurements can now be easily and accurately obtained from very large scale aerial (VLSA) imagery having spatial resolutions as fine as 1 millimeter per pixel by using the three new software programs described here. VLSA images have small fields of view and are used for intermittent sampling across extensive landscapes. Pixel-coverage among images is influenced by small changes in airplane altitude above ground level (AGL) and orientation relative to the ground, as well as by changes in topography. These factors affect the object-to-camera distance used for image-resolution calculations. ‘ImageMeasurement’ offers a user-friendly interface for accounting for pixel-coverage variation among images by utilizing a database. ‘LaserLOG’ records and displays airplane altitude AGL measured from a high frequency laser rangefinder, and displays the vertical velocity. ‘Merge’ sorts through large amounts of data generated by LaserLOG and matches precise airplane altitudes with camera trigger times for input to the ImageMeasurement database. We discuss application of these tools, including error estimates. We found measurements from aerial images (collection resolution: 5–26 mm/pixel as projected on the ground) using ImageMeasurement, LaserLOG, and Merge, were accurate to centimeters with an error less than 10%. We recommend these software packages as a means for expanding the utility of aerial image data.     

基于ai智能图像的工控火电现场爆炸风险评估

对工控火电现场爆炸风险进行评估时,若采用人工识别现场图片信息的方法,容易导致现场图片特征信息采集不准确,存在评估耗时长、评估效率低和评估结果不准确的问题。针对该问题,提出1种基于ai智能图像的工控火电现场爆炸风险评估方法;通过自适应融合方法提取工控火电现场ai智能图像中的特征信息,根据特征信息对工控火电现场ai智能图像进行识别;结合层次分析法和问卷调查法,选取工控火电现场爆炸风险评估指标;在图像识别结果的基础上,通过风险等级集合、评估指标权重,建立工控火电现场爆炸风险评估模型,并与另外2种工控火电现场爆炸风险评估方法进行了对比。研究结果表明:所建方法能够缩短评估时间,且评估效率较高、评估结果准确率较高。     

城镇形象与环境艺术可持续发展设计理论的探究

城镇形象是根据不同城市所处的不同地理位置、自然环境、经济贸易水平等因素给予大众不同的印象总和,在社会经济不断发展,城市化发展迅速的情况下,提升城镇形象显得尤为重要。在可持续发展战略方针的作用下,注重城镇环境,并对城镇的环境实施艺术加工设计,表达出各个城镇不同的文化底蕴和地方特色,是目前城市化发展的重要举措。基于此,本文将对城镇形象与环境艺术可持续发展设计理论进行探究分析。     

单轴压缩下中部锁固岩桥变形破坏模式及演化机制研究

为了探究锁固岩桥破坏模式及演化机制,通过在完整试样端部预制裂隙以形成中部岩桥,采用物理试验和RFPA2D数值模拟方法,研究不同锁固岩桥角度试样破坏模式及裂隙扩展演化机制的影响规律,并利用断裂力学理论分析岩桥裂隙扩展机理。研究结果表明:利用数字图像技术,从定量角度分析裂隙扩展类型,得出试验试样最终破坏是由前期损伤不断积累所导致的结果;锁固段岩桥角度α对锁固段的破坏有重要影响,当α≤90°时,锁固岩桥段发生张拉贯通破坏;当90°＜α＜120°时,锁固岩桥段发生张拉剪切贯通破坏;当α≥120°时,锁固岩桥段并没有发生贯通破坏。最终得出3种试样破坏模式:下部裂隙张拉扩展,贯通中部岩桥;上下部裂隙同时张拉扩展,剪切贯通中部岩桥;下部裂隙张拉扩展,贯通试样上端面,中部岩桥没有发生破坏。     

一种面向灾害应急的UAV影像快速拼接方法

洪涝、地震等自然灾害发生突然,特别是对城郊设防水平较低地区,短时间内能造成巨大的损失.及时、准确、快速地获得足够的灾情信息是减灾救灾的前提;依靠无人机采集的灾区遥感影像越来越成为减灾部门提取第一手灾情信息的首选数据源.结合无人机影像特点,优化利用影像局部不变特征进行特征匹配,通过RANSAC算子剔除匹配粗差,并用变换优化法求取最佳变换模型参数,然后采用基于动态规划的最佳拼接缝搜索策略和加权平均相结合的融合策略,在保证灾害应急精度要求的前提下,很好地消除了拼接缝和“融合鬼影”现象,为城郊区应急情况下的灾情信息获取提供了新的技术手段和支持.     

Research on Urban Tourism Image Positioning： A Case Study of Dengfeng in Henan Province

Aiming at facilitating the research of urban tourism im- age positioning, this paper summarizes the domestic and abroad theories on urban tourism image and analyzes its significance for cities. With De...     

一次雷暴天气发生发展的水汽图和红外云图特征分析

通过MTSAT的水汽图和红外云图,结合天气图、NCEP资料、地闪实况资料和探空数据对在高空急流影响下的暗区雷暴实例进行了对比分析。结果表明:暗区雷暴在卫星云图上表现为经过白天太阳辐射对晴空区(水汽图暗区)近地面的加热作用,大气不稳定能量增加,在一定条件下,午后强雷暴时常发生发展于高空急流左侧的晴空区中;而在水汽图上,高空急流与水汽图上的干区、湿区间有明显的联系,而这些联系又与强雷暴的发生发展有密切的关系,是雷暴发生发展的重要条件;在雷暴云发展过程中,地闪时空分布在卫星云图上有着明显的对应。