基于GF-1数据的三峡库区水体信息精细化提取

为实现江河类狭长型水体信息的精细化提取，利用GF-1卫星数据，采用支持向量机和目视解译相结合的方法对三峡库区及重庆市水体信息进行了精细化提取。使用总体分类精度、Kappa系数、错分误差、漏分误差、制图精度和用户精度等指标对库区水体信息粗提取结果进行验证分析。结果表明:4个试验区水体提取的总体分类精度均超过90%，除试验区4的Kappa系数为0.884 1以外，其余试验区均超过0.9，提取精度较高。结合目视解译的方法，在粗提取结果的基础上对各问题进行精细化处理，得到精度高、完整性好的三峡库区以及重庆市水体信息数据，可为后续该区域的精细化遥感业务开展提供有效资料。     

Robust image retrieval by cascading a deep quality assessment network

The performance of computer vision algorithms can severely degrade in the presence of a variety of distortions. While image enhancement algorithms have evolved to optimize image quality as measured according to human visual perception, their relevance in maximizing the success of computer vision algorithms operating on the enhanced image has been much less investigated. We consider the problem of image enhancement to combat Gaussian noise and low resolution with respect to the specific application of image retrieval from a dataset. We define the notion of image quality as determined by the success of image retrieval and design a deep convolutional neural network (CNN) to predict this quality. This network is then cascaded with a deep CNN designed for image denoising or super resolution, allowing for optimization of the enhancement CNN to maximize retrieval performance. This framework allows us to couple enhancement to the retrieval problem. We also consider the problem of adapting image features for robust retrieval performance in the presence of distortions. We show through experiments on distorted images of the Oxford and Paris buildings datasets that our algorithms yield improved mean average precision when compared to using enhancement methods that are oblivious to the task of image retrieval. ¹     

基于GL0816传感器的高速线阵CMOS相机系统设计

为了满足印刷等高端工业检测中物体快速运动,需要大幅面、高行频、高分辨率图像采集等要求,研发了一款微米级高分辨率、高速线阵工业相机。首先,介绍了高行频、高分辨率国产CMOS图像传感器GL0816的功能与特点。然后,基于该芯片设计了一套高速大幅面高分辨率线阵工业相机系统,该系统采用FPGA作为整个系统的控制核心,以DDR3LSDRAM作为图像缓存器,以GigE vision2.0协议为输出标准,以SFP+作为高速图像输出接口。最后,搭建相机系统测试环境,对所设计的相机进行系统测试。结果表明:该相机系统行分辨率为8 192,可连续采集2 000行作为一帧图像输出,行频为50kHz,动态范围为57.32dB,信噪比为40.95dB,具有实时图像采集功能。该相机系统具有大幅面、高帧频、高分辨率、高信噪比、宽动态范围等优点,适用于印刷检测行业快速运动目标捕获成像及图像实时显示。     

一种广义不可分支持向量机算法

针对标准的C-SVM(C-support vector machine)算法在处理很多实际分类问题时，对识别错误代价损失差异很大的极端情况表现出的局限性，提出一种通用的 广义支持向量机算法。根据识别错误后所付出的代价，可以把最优分类面向代价损失低的一方进行推移，留给代价损失高的一方更大的空间，提高其识别率，从而减小识别错误后带来的代价损失。该方法进一步提高了标准C SVM的适用性以及样本的正确识别率，将新算法应用到高分辨雷达距离像的识别中，实验证明,广义C-SVM能取得比传统C-SVM更好的识别效果。     

地质统计学反演在薄煤层预测中的应用

曙光煤矿煤层多为薄煤层,利用地震数据常规反演技术预测开采区域煤层厚度的分辨能力有限,远低于煤层开采的需要。引入基于MCMC算法的地质统计学反演技术对曙光煤矿采区内薄煤层进行厚度预测。预测结果与常规解释结果进行对比,并利用已有钻孔资料进行验证,发现该方法的分辨率可达到1 m,对煤层厚度、煤中夹矸厚度的预测误差分别控制在0.5、0.1 m以内。有效解决了曙光煤矿薄煤层预测问题。     

基于多Agent和PERT图的车间冲突消解研究

首先构建基于多Agent的车间管理信息系统。针对车间中常见的资源冲突问题,建立基于多Agent合作的冲突消解模型,并将PERT/CPM方法引入到多Agent系统的冲突分析过程,根据竞争同一资源的不同Agent的任务在PERT图上的位置关系,对冲突进行分类,并给出相应的冲突消解策略。最后以NCP-CP冲突为例,介绍整个系统的实现过程。     

胶片型航空画幅遥感相机中负压展平机构的设计

航拍成像胶片的展平精度是影响相机分辨率的主要因素.长焦距、大画幅、高分辨率的胶片式画幅遥感相机要求在给定的摄影周期内快速、精密地将胶片展平在片台上.为实现画幅尺寸为114 mm×114 mm的胶片展平精度达到0.034 mm,吸附时间为420 ms,提出了一个较完善的胶片展平机构,介绍了利用负压将胶片展平在焦平面板上的方法.阐述了该展平机构的组成和工作原理,给出了片台的结构形式,并通过分析计算得出关键器件的选择依据.提供了一种利用光学技术来定性检测展平精度的方法.经成像试验验证,该方法可满足使用要求.     

Distribution-free estimation of sphere size distributions from slabs showing overprojection and truncation,with a review of previous methods

A distribution-free method is presented for unfolding the size distribution of an aggregate of disjoint opaque spherical particles in a translucent medium, from the circular profiles observed in the orthogonal projection of sections of a certain thickness through the medium. This situation pertains especially to light and transmission electron microscopy. The model accounts for overprojection (or ‘Holmes effect’) due to section thickness, and for two forms of truncation (or ‘missing profiles’ mechanisms), simultaneously. The profile data may be grouped into an arbitrary class system, chosen by the user, and the procedure can be programmed in a medium-size desk calculator. In order to incorporate the above features, however, we had to choose a finite-difference unfolding algorithm, the advantages and disadvantages of which are discussed early in the paper in the context of the main alternative unfolding procedures hitherto available. The performance of the method is tested against three sets of real data previously analysed by a maximum likelihood method (Keidinget al., 1972).