基于模糊算子理论的道路半自动提取

提出了一种基于模糊算子理论的道路半自动提取方法。该方法在对小比例尺影像进行Sobel边缘检测的基础上，定义了12种模糊算子表示2维道路的各种可能的结构，然后在给定道路种子点附近形成的一定范围内进行搜索，提取出道路的中心线。实验结果表明，该算法速度较快并且具有较强的鲁棒性。     

离子刻蚀全息光栅的研究

利用国产的光刻胶和国产离子刻蚀机在蒸镀的铝基衬底上进行刻蚀全息光栅,在国内是一项较新的技术。本文介绍和论述了该试验工作的工艺过程、参数计算和测试方法,得出了试验结果和参数计算值基本吻合的结论,并指出了进一步改善质量的方向。     

A New Approach for Vegetation Change Detection in Urban Areas

IntroductionVegetation distribution and change is regardedas ani mportant sign of urban environment . Withcity expanding and population increasing, herecomes a series of problems on environment ,andmoreover ,greening ratio is regarded as a stand-ard of ci…     

测云方法研究进展

定性及定量云基础参量的观测(检测)结果,对提供未来天气变化趋势的依据有着非常重要的意义。对国内外学者多年来使用的各种测云方法得出的云空间分布等情况进行了综合评述。根据不同观测手段的特点,按空基遥感、地基遥感等方法加以区分,分别对上述测云方法逐个分析并相互比较,讨论各种测云方法的利弊,为今后使用这些方法开展的各种科学研究工作提供参考,并展望未来观测研究云的可能方向。     

A comparison of MODIS-derived cloud amount with visual surface observations

Two main sources for global cloud climatologies are visual surface observations and observations made by spaceborne sensors. Satellite observations compared with surface data show in most cases differences ranging from − 15% up to − 1%, depending on sensor and observation conditions. These differences are partially controlled by sensors' cloud detection capabilities — a higher number of spectral bands and higher spatial resolution are believed to allow discrimination of clouds from land/ocean/snow background. A Moderate-Resolution Imaging Spectroradiometer (MODIS) produces images of the atmosphere in 36 spectral bands with a spatial resolution of 250–1000 m, thus having a capacity for cloud detection far more advanced than other operating sensors. In this study, instantaneous MODIS cloud observations were compared with surface data for Poland for January (winter) and July (summer) 2004. It was found that MODIS observed 4.38% greater cloud amount in summer conditions and 7.28% in winter conditions. Differences were greater at night (7–8%) than in daytime (0.5–7%) and correlations ranged between 0.577 (winter night) and 0.843 (winter day, summer day and night).     

傅立叶变换消除ETM＋条带影响及平面精度分析

分析了ETM＋影像的黑色条带特征,采用数据叠合和快速傅立叶变换对影像进行处理,实现了对ETM黑色条带进行去除和减弱的目的。     

BDS/GPS/GLONASS组合单历元姿态测量性能对比分析

相比于单一卫星导航系统,多卫星导航系统组合具有显著增加可用卫星数目、改善卫星空间几何结构等优点,因而多卫星导航系统组合应用成为近年来关注的热点。在复杂观测条件下,利用BDS/GPS/GLONASS组合进行载体姿态测量具有单系统无法比拟的优势。首先阐述了BDS/GPS/GLONASS组合超短基线解算的双差模型以及姿态测量基本原理;然后分析了BDS/GPS/GLONASS组合多频单历元姿态测量性能。通过实测静态数据设置不同高度截止角进行分析表明:相比于单系统及双系统组合的姿态测量,BDS/GPS/GLONASS组合能够有效地提高姿态测量的精度、稳定性和可用性。当运动载体处于高楼、峡谷等受遮挡严重的复杂环境时,BDS/GPS/GLONASS组合单历元姿态测量更具有应用价值。     

选择性压盖技术在纸质海图生产中的应用

利用数字海图数据直接出版纸质海图是提高纸制图生产效率的重要手段，但由于数字海图与纸质海图在编制原则和表现规范上的差异造成由数字图生产纸质图时，需要大量的手工修编，从而增加了工作量，延长了成图周期。采用一种新的制图理念，利用ArcInfo的选择性压盖技术，制作纸质图符号库，选择正确符号化顺序，从而实现纸质海图生产与数字海图生产同步，减少重复劳动，缩短成图周期，提高了工作效率。     

Integrating multiple land cover maps through a multi-criteria analysis to improve agricultural monitoring in Africa

Monitoring agricultural land cover is highly relevant for global early warning systems such as ASAP (Anomaly hot Spots of Agricultural Production), because it represents the basis for detecting production deficits in food security assessment. Given the significant inconsistencies among existing land cover datasets, there is a need to obtain a more accurate representation of the spatial distribution and extent of agricultural area in Africa. In this research, we explore a fusion approach that combines the strength of individual datasets and minimises their limitations. Specifically, a semi-automatic method is developed, relying on multi-criteria analysis (MCA) complemented with manual fine-tuning using the best-rated datasets, to generate two hybrid and static agricultural masks – one for cropland and another for grassland. Following a comprehensive selection of land cover maps, each dataset is evaluated at country level according to five criteria: timeliness, spatial resolution, comparison with FAO statistics, accuracy assessment and expert evaluation. A sensitivity analysis is performed, based on an evaluation of the impact of weight settings on the resulting land cover. The proposed methodology is capable of improving agricultural characterisation in Africa. As a result, two static masks at 250 m spatial resolution for the nominal year 2016 are provided.     

噪声调节主成分变换下的遥感图像薄云去除

针对在光学遥感图像中的地球表面反射率由于云覆盖所造成的衰减问题,本文提出了一种基于噪声调整主成分变换（NAPCT）模型的薄云去除方法。首先,通过噪声估计构建NAPCT除云模型,实现云图像的转换;然后,利用NAPCT第一成分（NAPC1）提供的云分布信息,通过合并云掩膜,对NAPC1上的浑浊像素进行校正;最后,将逆变换应用于云覆盖区域,并与原始的清晰像素镶嵌在一起,最终得到无云图像。利用模拟和真实的Landsat 8图像对本文方法的性能进行了定性和定量评估,试验结果表明：与传统方法相比,本文NAPCT方法提供了更好的均方根误差和峰值信号噪声比,在除云上具有更好的效果。