Effects of lighting and air movement on temperatures in reproductive organs of plants in a closed plant growth facility

Temperature increases in plant reproductive organs such as anthers and stigmas could cause fertility impediments and thus produce sterile seeds under artificial lighting conditions without adequately controlled environments in closed plant growth facilities. There is a possibility such a situation could occur in Bioregenerative Life Support Systems under microgravity conditions in space because there will be little natural convective or thermal mixing. This study was conducted to determine the temperature of the plant reproductive organs as affected by illumination and air movement under normal gravitational forces on the earth and to make an estimation of the temperature increase in reproductive organs in closed plant growth facilities under microgravity in space. Thermal images of reproductive organs of rice and strawberry were captured using infrared thermography at air temperatures of 10–11 °C. Compared to the air temperature, temperatures of petals, stigmas and anthers of strawberry increased by 24, 22 and 14 °C, respectively, after 5 min of lighting at an irradiance of 160 W m⁻² from incandescent lamps. Temperatures of reproductive organs and leaves of strawberry were significantly higher than those of rice. The temperatures of petals, stigmas, anthers and leaves of strawberry decreased by 13, 12, 13 and 14 °C, respectively, when the air velocity was increased from 0.1 to 1.0 ms⁻¹. These results show that air movement is necessary to reduce the temperatures of plant reproductive organs in plant growth facilities.     

CT5ATP在GTCP131-9BAPU管理中的作用

针对波音737NG机型GTCP131—9B辅助动力装置（APU）出现涡轮叶片移位的故障,分析了叶片移位对APU的影响,提出7CT5ATP方法．并结合南航的经验将其应用于GTCP131—9BAPU的管理中．确定了以CT5ATP作为启动值,结合修后使用时间（TSR）、孔探结论和后中心体盖裂纹检查作为完整性能监控的手段,为APU拆换提供了可信的实践依据,实现7APU单位维修成本的有效降低。     

基于衍射图像的大型光学镜面在位检测

介绍了相位恢复测量系统的软硬件实现原理。构建了由CCD移动平台等硬件装置和基于GS迭代算法的软件程序组成的实验平台。并对一面口径500mm的球面反射镜进行了在位加工环境下的测量实验。测试结果与干涉测量相比较表明测量数据准确,精度满足光学镜面研抛加工要求。     

基于CT的泡沫铝三维细观模型重建及应用

为了建立更加真实的闭孔泡沫铝三维细观分析模型,提出了一种基于计算机层析成像（CT）的有限元模型构建新方法。首先,对CT扫描得到的泡沫铝试件的扫描图像进行Otsu算法分析,确定了区分基体材料和空气的灰度最佳阈值。其次,基于映射网格思想直接从扫描图像生成了试件的有限元分析模型,实现了泡沫金属三维细观分析模型的重建。最后,以此为基础进行了泡沫铝试件准静态压缩和动态冲击试验的数值模拟,结果表明,准静态压缩下泡沫铝的内部变形随机分布于整个试件,且与其三维结构密切相关;而动态冲击下变形在冲击端附近首先发生,体现出显著的局部化效应。本文方法能真实地描述泡沫金属内部的细观结构,实现了对泡沫铝试件在准静态压缩和动态冲击作用下的受力、变形与破坏过程更加详细的模拟分析。      

基于分水岭变换的单幅高分辨率SAR图像建筑物检测方法

提出了一种从单幅高分辨率SAR图像中检测建筑物的算法框架。该框架主要以应用 标记的分水岭变换为基础,针对SAR图像中建筑物所具有的强回波特性与典型的形状特征, 主要采用CFAR检测和文中提出的方向相关分析方法得到标记图像,利用最小强制技术和标记 图像修改原始图像的梯度图,对修改后的梯度图作分水岭变换得到建筑物目标的边界轮廓。 该方法能够引入建筑物目标的特性同时克服分水岭变换固有的过分割缺陷。文中对不同场景 的高分辨率SAR图像进行了实验,实验结果表明,即使在建筑物分布密集的情况下,本文算 法也能正确完整地检测出绝大多数目标,检测率高而虚警率低。     

A novel visual attention method for target detection from SAR images

Synthetic Aperture Radar(SAR) imaging systems have been widely used in civil and military fields due to their all-weather and all-day abilities and various other advantages. However, due to image data exponentially increasing, there is a need for novel automatic target detection and recognition technologies. In recent years, the visual attention mechanism in the visual system has helped humans effectively deal with complex visual signals. In particular, biologically inspired top-down attention models have garnered much attention recently. This paper presents a visual attention model for SAR target detection, comprising a bottom-up stage and top-down process.In the bottom-up step, the Itti model is improved based on the difference between SAR and optical images. The top-down step fully utilizes prior information to further detect targets. Extensive detection experiments carried out on the benchmark Moving and Stationary Target Acquisition and Recognition(MSTAR) dataset show that, compared with typical visual models and other popular detection methods, our model has increased ability and robustness for SAR target detection, under a range of Signal to Clutter Ratio(SCR) conditions and scenes. In addition, results obtained using only the bottom-up stage are inferior to those of the proposed method, further demonstrating the effectiveness and rationality of a top-down strategy. In summary, our proposed visual attention method can be considered a potential benchmark resource for the SAR research community.     

一种航空图像道路中心线快速提取算法

经典的航空图像道路中心线提取算法针对非实时应用,计算耗时长,难以满足视觉辅助导航、实时地物识别等应用的要求。在研究了图像中道路法向和等效道路宽度的基础上,建立了近似道路法向和等效道路宽度模型来代替经典道路模型,提出了基于道路中心线的快速提取方法。对比实验的结果说明：快速提取方法和经典方法取得了相近的道路提取效果,计算耗时大大下降,可以满足实时性要求。     

适用于爆炸物CT检测重建图像去噪新算法

场旅客行李爆炸物CT检测成像过程中不可避免地受到噪声影响,对重建图像的去噪处理是爆炸物CT检测技术中的一个重要环节。针对机场旅客行李隐藏爆炸物快速检测、重建图像质量要求和引入的噪声特点,提出了一种有效的图像去噪算法将小波包分析与快速中值滤波相结合,并且对小波包系数运用一种新的阈值去噪方法。实验结果表明,该算法能更有效地去除重建图像的噪声并保持图像的边缘细节。     

基于MSER的无人机图像建筑区域提取

对建筑区域自动检测与提取是无人机(UAV,Unmanned Aerial Vehicle)图像处理的一项重要功能.在分析无人机成像特点和最大稳定极值区域(MSER,Maximum Stable Extremal Regions)算法对无人机侦察图像建筑区域检测的适用性基础上,提出了一种基于MSER的无人机侦察图像建筑区域提取算法.算法包含5步:无人机图像预处理,运用MSER算法分析计算图像稳定区域,通过计算稳定区域密度筛选建筑区域,进一步利用自适应K均值聚类算法对建筑区进行划分,最后采用Graham算法生成建筑区的边界从而实现了建筑区的自动提取.选取无人机实飞图像数据进行实验统计,本算法提取精度为92.25%;同时与基于Gabor变换的纹理特征、SIFT特征点的提取算法相比,建筑区域提取时间缩短,满足无人机实时应用需求.      

复合材料CT检测的原理和应用

介绍了复合材料CT检测、密度及微气孔含量三维测量的原理和方法，并利用在PC机上研制的软件，对断层扫描的图像数据进行三维重建、分析和测量，实验表明，CT检测对复合材料内部缺陷的检测具有很好的分辨率，三维重建能够很好地显示密度的空间分布情况，CT检测是目前最精确、有效的无损评价方法之一。