一种基于DCT变换的数字水印算法在“天地图·广东”中的应用

地理信息公共服务通过云平台进行部署和发布,可以使得其应用于政府部门和社会的空间数据服务更加高效和稳定。然而,把对应的地图信息挂载在云平台供应商处同时也加大了防止电子地图被盗用的难度。本文针对"天地图?广东"的电子地图瓦片,提出了一种具有高鲁棒性、基于离散余弦变换(DCT)的数字水印算法,在寄存云端和公开发布的电子地图中隐藏生产单位版权的数字水印图片,藉此来跟踪、抵制"天地图"图片数据的非法流通,非法复制,有效地保护数据生产单位的合法权益。     

基于码率控制的DMB预警信息预处理系统

为解决预警信息音频广播的单一性,通过对数字多媒体广播(DMB)的标准研究,设计了基于码率控制的DMB预警信息预处理系统.该系统采用MPEG-4 HE AAC和H.264/AVC编码算法对预警音视频信息分别进行信源编码,实现将编码后信息合成为TS码流;采用RS和卷积交织的信道编码方法实现TS码流的纠错控制,提高传输可靠性.针对传输码率不稳定、音视频传输容量和速率不匹配的技术难点,提出基于码率控制的音视频匹配控制传输方法,通过空包插入法实现对编码输出数据码率的智能控制,达到音视频预警信息的稳定实时输出.该预处理系统目前已通过验证,可显著提高预警信息传输的可靠性、稳定性和实时性.     

An automated approach to vertical road characterisation using mobile LiDAR systems: Longitudinal profiles and cross-sections

The characterisation the vertical profiles and cross-sections of roads is important for the verification of proper construction and road safety assessment. The goal of this paper is the extraction of geometric parameters through the automatic processing of mobile LiDAR system (MLS) point clouds. Massive and complex datasets provided by the MLS are processed using a hierarchical strategy that includes segmentation, principal component analysis (PCA)-based orthogonal regression, filtering and parameter extraction procedures. Best-fit geometric parameters act as a vertical road model for both linear parameters (slope and vertical curves) and cross-sections (superelevations). The proposed automatic processing approach gives satisfactory results for the analysed scenario.     

Effects of green space spatial pattern on land surface temperature: Implications for sustainable urban planning and climate change adaptation

The urban heat island (UHI) refers to the phenomenon of higher atmospheric and surface temperatures occurring in urban areas than in the surrounding rural areas. Mitigation of the UHI effects via the configuration of green spaces and sustainable design of urban environments has become an issue of increasing concern under changing climate. In this paper, the effects of the composition and configuration of green space on land surface temperatures (LST) were explored using landscape metrics including percentage of landscape (PLAND), edge density (ED) and patch density (PD). An oasis city of Aksu in Northwestern China was used as a case study. The metrics were calculated by moving window method based on a green space map derived from Landsat Thematic Mapper (TM) imagery, and LST data were retrieved from Landsat TM thermal band. A normalized mutual information measure was employed to investigate the relationship between LST and the spatial pattern of green space. The results showed that while the PLAND is the most important variable that elicits LST dynamics, spatial configuration of green space also has significant effect on LST. Though, the highest normalized mutual information measure was with the PLAND (0.71), it was found that the ED and PD combination is the most deterministic factors of LST than the unique effects of a single variable or the joint effects of PLAND and PD or PLAND and ED. Normalized mutual information measure estimations between LST and PLAND and ED, PLAND and PD and ED and PD were 0.7679, 0.7650 and 0.7832, respectively. A combination of the three factors PLAND, PD and ED explained much of the variance of LST with a normalized mutual information measure of 0.8694. Results from this study can expand our understanding of the relationship between LST and street trees and vegetation, and provide insights for sustainable urban planning and management under changing climate.     

基于AnGeo的城市三维导航系统设计与实现

随着地理信息系统在三维数字城市建设的广泛应用,更加逼真且信息更丰富的三维立体导航逐渐在导航领域占据主导地位。以A nGeo三维地理信息系统软件为基础,研究了三维导航系统的设计与实现,该系统不仅可以提供基本的信息查询功能,还能完成三维互动式浏览、三维地图导航以及最佳路径选择的功能。     

基于TEA算法的地理信息数据安全保护技术及验证分析

地理信息数据是国家国防建设和国民经济发展的重要基础数据,随着数字化、信息化及云计算等技术的发展,地理信息数据的安全威胁日益严峻,本文面对移动平台上地理信息数据安全存储、高效传输和实时信息解密及处理等挑战,提出了一种基于TEA算法的地理信息数据安全保护技术,该技术采用循环迭代的移位和异或运算实现对地理信息数据的加密和解密,可以实现移动平台端地理信息数据的高安全加密存储和高性能实时解密处理,并采用该算法对SRTM数据进行处理和分析。试验结果表明,基于TEA算法的地理信息数据加密技术可以有效实现地理信息数据的加密及解密处理,满足移动系统对地形数据的高安全存储和高性能处理的要求。     

高精度时空信息崩滑坡灾害监测技术

我国部分地区地质灾害爆发频率高,多年来崩滑坡、泥石流等高危险性地质灾害严重威胁我国人民财产与生命安全。因此,地质灾害及时预警一直是我国在应急方面亟待解决的难题。随着北斗、GPS等全球卫星导航系统的建设组网,GNSS技术逐渐成为当前提供时空位置信息的重要手段,具有数据实时性、设备低功耗、搭建便捷化等特性,成为解决地质灾害监测与预警的理想技术手段。本文利用BDS+GPS+GLONASS时空信息数据,构建了面向地质灾害监测的中长基线毫米级精度的崩滑坡监测解算方法,确定了双差观测的载波相位解算模型。最后在重庆新浦区域展开试验应用,实现了基于高精度时空信息的毫米级滑坡灾害的监测与预警。为预计该区域的地质灾害提供了数据支持,为人民的生产生活提供了技术保障。     

基于GEOWAY软件的基础地理信息数据更新方法--以山西省1∶10000 DLG数据更新为例

以近年来山西省1∶10000 DLG数据更新及检查工作为基础,以GEOWAY软件作为更新平台,对更新过程中数据更新要点以及接边和自检方法进行了探讨,为基础地理信息数据快速更新及加强DLG数据过程质量控制奠定了基础。     

空天地一体化智慧农业服务与管理平台

空天地一体化智慧农业服务与管理平台融合北斗定位技术和高分遥感技术,通过实时接收北斗定位数据和定时接收卫星遥感数据,实现农作物的长势监测、病虫害和气象灾害监测、农业旱情监测和灌溉用水管理等应用,从而为农作物估产、病虫害预防、水肥药的变量喷施提供决策。     

南美典型铁矿床遥感找矿模型研究

针对南美地区两种典型铁矿—苏比利尔湖型和阿尔果玛型铁矿,基于ETM+遥感数据,采用光谱角方法提取研究区的羟基、铁染蚀变信息;通过影像增强,波段合成等预处理结合人工解译,进行赋矿地层和控矿构造信息提取。总结分析示矿信息规律和特征,建立遥感找矿模型,圈定2处遥感找矿靶区,缩小了野外地质调查范围。