eCognition技术在高分辨率遥感影像信息提取中的应用

本文提出了面向对象的多尺度分割策略,针对不同尺度的地物信息采用不同的分割尺度,在此基础上构建多尺度分割等级网,实现了地物信息的分层提取。以北京怀柔区QuickBird遥感影像为试验区进行信息提取,给出了多尺度分割参数的设置规律,获得了较好的效果,总体精度为84．82%。     

皇城—双塔断裂带的几何分段及运动学特征

在室内航,卫片解释及野外１：５万大比例尺活断层地质填图等专项研究的基础上,论证了１９２７年古浪８级大震主发震断裂皇城－双塔断裂带的几何分段及运动学特征。依据断层的几何特征,活动时期,活动强度可将该断裂带分为３段,分别为皇城盆地段（西段）、上寺段（中段）和冬青顶段（东段）。其中东段是古浪地震的发震段,与西段和中段相比,它具有活动时代新、活动强度大等特点,属全新世活动段。１９２７年古浪地震的发生与其特     

Prerift and synrift sedimentation during early fault segmentation of a Tertiary carbonate platform, Indonesia

Eocene carbonate deposits of the Barru area, Sulawesi, Indonesia, provide a rare insight into sedimentation prior to and during propagation of normal faults to the surface. Three main successions; late prerift, latest prerift/earliest synrift and synrift, are characterised by distinctive facies associations and sequence development. Shallow water foraminiferal shoals and intervening lower energy depositional environments occurred during the late prerift in areas which latter formed footwall highs and hangingwall depocentres, respectively. During the latest prerift/earliest synrift, shallow water shelves deepened laterally into slope environments in developing hangingwall depocentres. In both these sequences, sections in developing hangingwall areas are thickest, deepen up-section and thin laterally towards growing footwall highs. Active faulting resulted in rapid drowning of hangingwall depocentres and massive reworking of material derived from collapse of the platform margin and adjacent shallow water/emergent footwall highs.Differential subsidence, controlling water depths and accommodation space, types of carbonate producers and active faulting were the main factors affecting depositional environments and facies distributions. Carbonate producers are extremely sensitive indicators of depositional water depth and energy, hence rapid lateral and vertical facies variations in the Barru area provide quantifiable insight into environmental changes prior to and during active faulting.     

一种新的超声波心动图像分割算法

针对超声心动图像噪声大,边界模糊,灰度分布不均匀等特点,提出了一种新的图像分割算法.首先对超声图像进行滤波和边缘锐化等预处理,然后再使用GVFSnake模型对预处理后的图像进行分割,从而提取出心室的边界.经试验证明,这种新的超声心动图像分割算法,比传统的超声图像分割算法在图像分割精度上有显著的提高.     

A laboratory study on capillary sealing efficiency of Iranian shale and anhydrite caprocks

Caprock has the most important role in the long term safety of formation gas storage. The caprocks trap fluid accumulated beneath, contribute to lateral migration of this fluid and impede its upward migration. The rapid upward passage of invasive plumes due to buoyancy pressure is prevented by capillary pressure within these seal rocks. In the present study, two main seal rocks, from the Zagros basin in the southwest of Iran, a shale core sample of Asmari formation and an anhydrite core sample of Gachsaran formation, were provided. Absolute permeabilities of shale and anhydrite cores, considering the Klinkenberg effect, were measured as 6.09 × 10⁻¹⁸ and 0.89 × 10⁻¹⁸ m², respectively. Capillary sealing efficiency of the cores was investigated using gas breakthrough experiments. To do so, two distinct techniques including step by step and residual capillary pressure approaches were performed, using carbon dioxide, nitrogen and methane gases at temperatures of 70 and 90 °C, under confining pressures in the range 24.13–37.92 MPa. In the first technique, it was found that capillary breakthrough pressure of the cores varies in the range from 2.76 to 34.34 MPa. Moreover, the measurements indicated that after capillary breakthrough, gas effective permeabilities lie in range 1.85 × 10⁻²¹ – 1.66 × 10⁻¹⁹ m². In the second technique, the minimum capillary displacement pressure of shale varied from 0.66 to 1.45 MPa with the maximum effective permeability around 7.76 × 10⁻²¹ – 6.69 × 10⁻²⁰ m². The results indicate that anhydrite caprock of the Gachsaran formation provides proper capillary sealing efficacy, suitable for long term storage of the injected CO₂ plumes, due to its higher capillary breakthrough pressure and lower gas effective permeability.     

一种自适应的坡度阈值地面点云分割方法

针对城市道路斜坡地形场景中地面欠分割或过分割的问题,提出了一种自适应的激光雷达地面分割算法。首先将激光点云按照水平角度分辨率进行有序组织,然后求取同一水平角度下前后扫描圈间激光点云的距离和局部坡度,最后采用自适应水平距离、局部高度和全局高度阈值区分地面点和非地面点。结合40线激光雷达进行多场景实例分析,结果表明本文算法分割的准确率更高,处理每帧数据均用时约1ms,满足无人驾驶汽车的实时性需求。提出了一种自适应的激光雷达地面分割算法,实现了对激光雷达地面点云的准确分割。     

基于图形分割的面状符号自动填充算法

针对现有制图软件在面状符号填充方面存在的符号缺失、压盖等问题,提出了一种基于图形分割的面状符号自动填充算法。该算法通过计算面的骨架线,对复杂面进行分解,判断分解后的简单面的形状,分别赋予不同的制图表达规则,实现面状符号的自动填充。结果表明,该算法可以有效实现狭长以及包含狭长分支的不规则图形的合理填充,有效解决了填充符号与图形边界、注记的压盖问题,提高了制图自动化,大大减少了制图工作量。     

基于水深分段选择因子的多光谱影像反演水深

岛礁周边海底地形精密测量是海洋测绘的难点问题之一,利用多光谱卫星能精确测定岛礁周边水深地形,是传统岛礁水深测量有效的补充方式之一。本文以蜈支洲岛周围水域为研究区域,提出了基于BP神经网络水深分段选取反演因子的方法,利用WorldView-2数据和多波束实测数据建立多模型,整合预测的各段水深获得海底地形。实验表明,本文方法能充分利用水体的光谱特性,与单一BP神经网络模型结果相比,MRE降低了6.4%,RMSE降低了1.2 m,是一种可行的多光谱水深反演的方法     

深度学习支持下的宅基地复垦项目真实性智能审查技术研究与应用

全域综合整治背景下的宅基地复垦项目审查是保证复垦项目合法性合规性的有效手段,针对当前宅基地复垦项目审查效率低的问题,本文提出了基于遥感影像的农村宅基地复垦项目立项真实性审查方法。首先以重庆市农村宅基地复垦项目为例,建立宅基地复垦项目立项真实性审查模型,利用改进的U-Net模型准确提取建筑物,然后与复垦红线叠加实现复垦项目真实性的智能审查。试验结果表明,该方法能够快速准确地审查复垦项目真实性,对优化土地结构、促进土地流转、实现乡村振兴具有重要意义,可为全域综合整治背景下宅基地复垦项目真实性审查提供技术参考。     

细分移动互联网地理信息服务,构建宜居数字世界生活

移动互联网的发展在短时间内为地理信息带来了数亿用户,个人用户的增加,对地理信息提出了新的技术要求;地理信息界在努力,信息领域企业也在从信息基础设施角度向地理信息应用方向拓展,形成了目前信息技术企业与地理信息企业相向开发的局面;地理信息用户和行业的快速扩张,对行业管理提出了更高要求,需要许可认证、市场范围秩序维持等新的手段;地理信息有了与能力相适应的角色需要。以服务数字世界、打造虚拟社会中的宜居生活为目标,做好粘结剂,实现现实世界与数字世界的互动。