遥感数据融合研究进展与文献定量分析(1992—2018)   总被引：1，自引：0，他引：1  

张立福  彭明媛  孙雪剑  岑奕  童庆禧 《遥感学报》2019,23(4):603-619

近年来,遥感应用的快速发展推动了遥感载荷指标性能的不断提升。但由于遥感传感器的硬件技术瓶颈,遥感数据无法同时具有高空间分辨率、高光谱分辨率、高时间分辨率的指标特性。遥感数据融合是解决该问题的有效方法。为了深入了解目前遥感数据融合技术的研究进展情况,本文对国内外1992年—2018年间在该领域有一定影响力的相关成果进行了调研、分析与归纳总结。首先对遥感数据融合相关论文的年发文量、发文国家与机构、发表刊物以及关键词等进行了统计,梳理其发展历史及趋势;系统性的总结了各类数据融合算法,将其分为面向空间维提升的融合算法、面向光谱维提升的融合算法以及面向时间维提升的融合算法3类,并对各类算法的优势与适用性进行了分析;归纳总结了遥感数据融合的质量评价指标,包括有参考影像的融合评价指标以及无参考影像的融合评价指标;最后对遥感数据融合进展进行了总结与展望。  相似文献   

基于DFT模型的大场景InSAR图像配准     

韦顺军  唐欣欣  张晓玲 《遥感学报》2019,23(5):859-870

图像配准是实现干涉合成孔径雷达(InSAR)高精度相位提取及地形高程反演的关键,大场景图像的高效高精度配准成为近年高分宽幅InSAR成像应用研究的难点问题之一。由于大场景图像中不同区域偏移量及变化规律差异较大,传统最大相干系数配准方法需多分块及插值处理,面临计算量大且配准精度低等问题。针对此问题,本文提出一种基于DFT模型的大场景InSAR高效高精度图像配准算法。该方法利用最小均方差准则构建InSAR复图像配准的DFT模型,采用四叉树自适应分块及矩阵相乘DFT快速重采样配准方法,实现大场景InSAR图像各子块区域的高效高精度亚像素配准。仿真和实测数据验证本文算法的有效性,结果表明该算法不仅可实现大场景InSAR复图像亚像素级配准,还具有较高的运算效率,其运算效率相对于传统FFT配准方法通常可提升3倍以上。  相似文献   

Semantic segmentation of high spatial resolution images with deep neural networks     

Haiping Yang  Jiancheng Luo  Fang Chen 《地理信息系统科学与遥感》2019,56(5):749-768

Availability of reliable delineation of urban lands is fundamental to applications such as infrastructure management and urban planning. An accurate semantic segmentation approach can assign each pixel of remotely sensed imagery a reliable ground object class. In this paper, we propose an end-to-end deep learning architecture to perform the pixel-level understanding of high spatial resolution remote sensing images. Both local and global contextual information are considered. The local contexts are learned by the deep residual net, and the multi-scale global contexts are extracted by a pyramid pooling module. These contextual features are concatenated to predict labels for each pixel. In addition, multiple additional losses are proposed to enhance our deep learning network to optimize multi-level features from different resolution images simultaneously. Two public datasets, including Vaihingen and Potsdam datasets, are used to assess the performance of the proposed deep neural network. Comparison with the results from the published state-of-the-art algorithms demonstrates the effectiveness of our approach.  相似文献   

南海北部台风海浪谱的双峰性和成长性     

莫冬雪  刘亚豪  侯一筠  刘泽 《海洋学报(英文版)》2019,38(11):70-80

本论文通过对南海北部三次台风过境期间基于浮标观测的海浪谱进行分析，发现虽然大部分成熟的台风海浪谱为单峰结构，但实际上在台风海浪的成长和衰减阶段，双峰谱占据了很大的比例。双峰谱的形成主要是由于风浪和涌浪的叠加以及不同波分量之间的非线性相互作用，我们可以通过能量密度的成长率对谱型变化进行高效的预报。此外，台风海浪的主要波向依赖于台风中心相对观测点的位置，而波向的分散情况在相距台风中心较远的区域无明显规律。本文提出了一个新的六参数波浪谱型拟合双峰谱，其拟合效果相较于前人的谱型更好。通过验证，形状参数和谱宽度之间的理论关系依然适用于单个谱峰。通过分析谱参量的变化特征，证明了谱参量不仅与台风强度和台风路径相关，还存在很强的交互相关。最后通过拟合海浪谱数据，本文得到了台风影响下海浪有效波高和有效周期之间的成长关系，这对海洋工程实际应用具有重要意义。  相似文献   

新一代区域海-气-浪耦合台风预报系统   总被引：1，自引：0，他引：1  

雷小途  李永平  于润玲  李泓  汤杰  段自强  郑运霞  方平治  赵兵科  曾智华  黄伟  鲍旭炜  喻自凤  陈国民  马雷鸣  骆婧瑶  张帅  林立旻 《海洋学报》2019,41(6):123-134

依托国家重点基础研究（973）计划项目"上层海洋对台风的响应和调制机理研究"，中国气象局上海台风研究所联合国家海洋局的相关单位，通过实施近海台风的外场观测科学试验、加强台风边界层（特别是海气相互作用）物理过程诊断分析及参数化方案等的研究，建立并改进了台风强度预报的海-气-浪耦合预报模式系统，并在此基础上发展了台风强度的集合预报技术，在历史典型台风个例和2016-2017年台汛期的业务化测试中表现出良好的预报性能。  相似文献   

上层海洋对台风"凯萨娜"(2009)的响应特征   总被引：1，自引：1，他引：0  

王冠琳  李大伟  徐腾飞  滕飞  魏泽勋 《海洋科学》2019,43(9):1-11

本文利用多源卫星遥感数据和Argo浮标数据对2009年台风"凯萨娜"过后,南海上层海洋的物理和生态响应特征进行了分析。结果表明,"凯萨娜"引起的上升流流速最大可以达到1.6×10~(–3)m/s,台风过后,海表面温度(SST)下降显著,最大降温幅度可以达到6℃,海表面高度降低,先前存在的中尺度冷涡进一步加强。台风过后,沿着台风路径,叶绿素浓度升高,最大值可以达到2 mg/m~3以上,初级生产力升高到台风过境前的5倍。SST的最大降温中心与海面高度下降区域以及叶绿素浓度升高的区域一致。Argo数据表明台风诱发了强烈的垂向混合和艾克曼泵吸,不同位置处,垂向混合和艾克曼泵吸的强度不一样。通过混合和泵吸过程,台风可以把海洋内部的营养盐输送到海洋表层,对整个南海的物理和生态过程有重要影响。  相似文献   

基于图像的天体搜索研究与自动化集成软件开发     

陆扬  安涛  郭绍光  劳保强 《天文学报》2019,60(6):1-16

天体搜索是天文数据处理流程的一个重要环节,也是以平方公里阵列射电望远镜(Square Kilometre Array, SKA)为代表的下一代射电望远镜在面向海量数据处理中的挑战之一.现今天体自动搜索算法、软件已日趋成熟并投入应用,不过在自动化、兼容性等方面仍具有提升空间.以更自动化、更适应海量数据需求的天体搜索算法研究为宗旨,以现有算法为研究基础,天体自动搜索软件系统得到设计和开发.该系统包含友好的交互式用户操作界面,具备可视化输出数据显示、兼容不同数据输入和输出并包含为实际应用服务的文件管理功能.该系统对于大天区图以及图像集,均能够很好地进行自动化处理.测试结果显示,上述方法对于天体搜索的改进有一定成效.后续将在此基础上对该集成系统做进一步的改进开发,以适应更多的需求.  相似文献   

贵州省松桃县木耳溪锰矿地质特征及找矿方向     

陈旭  许乔 《云南地质》2020,(1):31-36

贵州松桃县木耳溪锰矿为典型的层控型锰矿床,矿体呈层状赋存于南华系下统大塘坡组第一段(Pt2b3d 1)底部的炭质页岩中,产出层位稳定,矿体产状与围岩产状一致。通过统计对比,锰矿层的矿化程度与含锰岩系的厚度呈正比,即当南华系大塘坡组地层厚度大于15m时,有可能成为锰矿的主要找矿方向。  相似文献   

Detection of spatio-temporal evolutions on multi-annual satellite image time series: A clustering based approach     

《International Journal of Applied Earth Observation and Geoinformation》2019

The expansion of satellite technologies makes remote sensing data abundantly available. While the access to such data is no longer an issue, the analysis of this kind of data is still challenging and time consuming. In this paper, we present an object-oriented methodology designed to handle multi-annual Satellite Image Time Series (SITS). This method has the objective to automatically analyse a SITS to depict and characterize the dynamic of the areas (the way that the land cover of the areas evolve over time). First, it identifies the spatio-temporal entities (reference objects) to be tracked. Second, the evolution of such entities is described by means of a graph structure and finally it groups together spatio-temporal entities that evolve similarly. The analysis were performed on three study areas to highlight inter (among the study areas) and intra (inside a study area) similarity by following the evolution of the underlying phenomena. The analysis demonstrate the benefits of our methodology. Moreover, we also stress how an expert can exploit the extracted knowledge to pinpoint relevant landscape evolutions in the multi-annual time series and how to make connections among different study areas.  相似文献   

Understanding the hydrological system dynamics of a glaciated alpine catchment in the Himalayan region using the J2000 hydrological model          下载免费PDF全文

S. Nepal  P. Krause  W.‐A. Flügel  M. Fink  C. Fischer 《水文研究》2014,28(3):1329-1344

This paper provides the results of hydrological modelling in a mesoscale glaciated alpine catchment of the Himalayan region. In the context of global climate change, the hydrological regime of an alpine mountain is likely to be affected, which might produce serious implications for downstream water availability. The main objective of this study was to understand the hydrological system dynamics of a glaciated catchment, the Dudh Kosi River basin, in Nepal, using the J2000 hydrological model and thereby understand how the rise in air temperature will affect the hydrological processes. The model is able to reproduce the overall hydrological dynamics quite well with an efficiency result of Nash–Sutcliffe (0.85), logarithm Nash–Sutcliffe (0.93) and coefficient of determination (0.85) for the study period. The average contribution from glacier areas to total streamflow is estimated to be 17%, and snowmelt (other than from glacier areas) accounts for another 17%. This indicates the significance of the snow and glacier runoff in the Himalayan region. The hypothetical rise in temperature scenarios at a rate of +2 and +4 °C indicated that the snowmelt process might be largely affected. An increase in snowmelt volume is noted during the premonsoon period, whereas the contribution during the monsoon season is significantly decreased. This occurs mainly because the rise in temperature will shift the snowline up to areas of higher altitude and thereby reduce the snow storage capacity of the basin. This indicates that the region is particularly vulnerable to global climate change and the associated risk of decreasing water availability to downstream areas. Under the assumed warming scenarios, it is likely that in the future, the river might shift from a ‘melt‐dominated river’ to a ‘rain‐dominated river’. The J2000 model should be considered a promising tool to better understand the hydrological dynamics in alpine mountain catchments of the Himalayan region. This understanding will be quite useful for further analysis of ‘what‐if scenarios’ in the context of global climate and land‐use changes and ultimately for sustainable Integrated Water Resources Management in the Himalayan region. Copyright © 2012 John Wiley & Sons, Ltd.  相似文献