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Chinese address standardisation of POIs based on GRU and spatial correlation and applied in multi-source emergency events fusion 基于GRU和空间相关的poi中文地址标准化及其在多源突发事件融合中的应用
IF 2.3 Q3 REMOTE SENSING Pub Date : 2021-08-10 DOI: 10.1080/19479832.2021.1961314
An Luo, Jiping Liu, Pengpeng Li, Yong Wang, Shenghua Xu
ABSTRACT A large number of users’ microblogs and various Points of Interest (POIs) of public service facilities in social media provide abundant data resources for the emergency events detection, fusion analysis and post-incident rescue. With the correlation analysis of these complex data resources based on the address information or location, people can instantly understand, rescue and make decisions for emergency events. This paper aims to propose an unsupervised method of multi-source POIs addresses segmentation and standardisation based on the Gated Recurrent Unit (GRU) neural network and spatial correlation. First, we use GRU neural network to automatically segment Chinese POIs addresses. Then, according to the spatial correlation between address elements, we can remove incorrect address elements, and construct a hierarchy address element map with the semantic relationship. Finally, the addresses of POIs or emergency events will be standardised by fuzzy matching, which uses the multi-source emergency events fusion of the first step. The propsed method is verified to a relatively high accuracy rate of address segment and standardisation, and it can be applied for the emergency event fusion and spatio-temporal analysis from multi-social media sites.
社交媒体中大量用户的微博和各种公共服务设施的兴趣点(poi)为突发事件的检测、融合分析和事后救援提供了丰富的数据资源。通过对这些基于地址信息或位置的复杂数据资源进行关联分析,人们可以即时了解、救援和决策突发事件。本文旨在提出一种基于门控循环单元(GRU)神经网络和空间相关的多源poi地址分割和标准化的无监督方法。首先,我们使用GRU神经网络自动分割中文poi地址。然后,根据地址元素之间的空间相关性,去除不正确的地址元素,构建具有语义关系的层次地址元素映射。最后,利用第一步的多源应急事件融合,通过模糊匹配对事件点或应急事件的地址进行标准化处理。实验结果表明,该方法具有较高的地址段准确率和标准化程度,可应用于多社交媒体站点的突发事件融合和时空分析。
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引用次数: 3
Online emergency mapping based on disaster scenario and data integration 基于灾害场景和数据集成的在线应急映射
IF 2.3 Q3 REMOTE SENSING Pub Date : 2021-08-09 DOI: 10.1080/19479832.2021.1963329
F. Ren, Yiwen Li, Zhihe Zheng, Han Yan, Qingyun Du
ABSTRACT Emergency mapping is a task that requires abundant professional knowledge and complex operations, especially in high timeliness demands in disaster scenarios. The operation of the conventional cartographic system based on GIS in the desktop environment is complicated and requires operators to have strong professional skills, while the network environment provides low-cost, unified geographical data services and easy-to-use operation without using any specific software. In this paper, we propose an online emergency mapping framework, which is a novel idea for rapid mapping and combining multi-source heterogeneous disaster data with cartographer knowledge. Through a disaster scenario model for emergency mapping, the corresponding relationship between scenarios and map groups can be understood. Through disaster data integration, knowledge rules, mapping templates, map symbol engines, and a simple wizard, an emergency response map can be rapidly produced. With the support of the techniques mentioned above, a prototype system is developed to verify the efficiency and validity of the framework. The results demonstrate that a framework that can effectively assist decision makers in displaying the present situation clearly and accurately has high practical value. The study also provides a novel perspective for shortening the mapping cycle in emergencies.
应急制图是一项专业知识丰富、操作复杂的任务,特别是在灾害场景下对时效性要求较高。传统的基于GIS的制图系统在桌面环境下操作复杂,要求操作人员具有较强的专业技能,而网络环境提供了低成本、统一的地理数据服务,无需使用任何特定的软件即可方便操作。本文提出了一种在线应急制图框架,为快速制图和将多源异构灾害数据与制图员知识相结合提供了一种新思路。通过应急映射的灾难场景模型,可以了解场景与映射组之间的对应关系。通过灾害数据集成、知识规则、映射模板、地图符号引擎和简单的向导,可以快速生成应急响应地图。在上述技术的支持下,开发了一个原型系统来验证该框架的效率和有效性。结果表明,一个能够有效帮助决策者清晰、准确地展示现状的框架具有很高的实用价值。该研究还为缩短紧急情况下的测绘周期提供了新的视角。
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引用次数: 0
A suitability visualisation method for flood fusion 3D scene guided by disaster information 基于灾害信息的洪水融合三维场景适宜性可视化方法
IF 2.3 Q3 REMOTE SENSING Pub Date : 2021-08-06 DOI: 10.1080/19479832.2021.1961315
LanXiang Luo, Jun Zhu, Lin Fu, S. Pirasteh, Weilian Li, Xiao Han, Yukun Guo
ABSTRACT Enhancing the visualisation of floods is essential for users to understand disaster information. However, existing flood visualisation methods have some deficiencies like scarce scene content expression and difficulty obtaining disaster information quickly and lacked a semantic description of the disaster scenes. This study presents constraint rules of flood disaster scene modelling guided by disaster information to determine the disaster’s content and correlation. We created a disaster fusion expression model to obtain the complete flood disaster scene which integrated basic geography scene, flood space-time process and disaster object models. Finally, we proposed a dynamic suitability visualisation method for the flood scene to increase the readability of disaster information. We applied the proposed model in the Danba County flood in Sichuan Province, China, to validate the model’s performance effectiveness. The finding shows the variation range of flow velocity and flood depth at different monitoring points at a specific time, and also shows the disaster level of disaster objects in the study area. It indicates that the proposed method can effectively realise the fusion of 3D disaster scenes and the dynamic suitability visualisation of floods and help users understand floods quickly and get useful disaster information.
摘要增强洪水的可视化对于用户了解灾害信息至关重要。然而,现有的洪水可视化方法存在场景内容表达匮乏、难以快速获取灾害信息、缺乏对灾害场景的语义描述等不足。本研究提出了以灾害信息为指导的洪水灾害场景建模的约束规则,以确定灾害的内容和相关性。我们创建了一个融合了基础地理场景、洪水时空过程和灾害对象模型的灾害融合表达模型,以获得完整的洪水灾害场景。最后,我们提出了一种洪水场景的动态适宜性可视化方法,以提高灾害信息的可读性。我们将所提出的模型应用于中国四川省丹巴县洪水,以验证该模型的性能有效性。该发现显示了特定时间不同监测点的流速和洪水深度的变化范围,也显示了研究区域内灾害对象的灾害程度。结果表明,该方法可以有效地实现三维灾害场景的融合和洪水的动态适应性可视化,帮助用户快速了解洪水,获取有用的灾害信息。
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引用次数: 3
Identifying hydrothermally altered rocks using ASTER satellite imageries in Eastern Anti-Atlas of Morocco: a case study from Imiter silver mine 利用ASTER卫星图像识别摩洛哥东部反阿特拉斯热液蚀变岩——以Imiter银矿为例
IF 2.3 Q3 REMOTE SENSING Pub Date : 2021-07-27 DOI: 10.1080/19479832.2021.1958928
Y. Atif, A. Soulaimani, Atman Ait lamqadem, A. B. Pour, B. Pradhan, El Aouad Nouamane, Kharis Abdelali, A. M. Muslim, M. S. Hossain
ABSTRACT The Imiter silver mine in the Eastern Anti-Atlas metallogenic province, Eastern Morocco, is a world-class silver ore deposit. This region has potential for undiscovered silver mineralisation and deserves a detailed remote-sensing study. In this study, Crosta, band ratios and mixture-tuned matched-filtering (MTMF) methods were applied to ASTER remote-sensing data. Argillic, phyllic and propylitic alteration zones were identified using specialised band ratios and Crosta techniques. Sub-pixel abundances of goethite, haematite, limonite, muscovite/illite, chlorite/epidote, jarosite and kaolinite/alunite were detected using MTMF algorithm. Accordingly, several alteration zones were identified and delimited in the central, northern, southern and northeastern parts of the study region, which can be considered as high prospective zones. GPS survey, analysis of thin and polish sections, XRD and geochemical survey verified the alteration zones and sulphide mineralisation in high prospective zones. This approach can be applied in other parts of the Eastern Anti-Atlas metallogenic province to explore hydrothermal ore deposits.
Imiter银矿位于摩洛哥东部的东反阿特拉斯成矿省,是一个世界级的银矿床。该地区具有未发现银矿化的潜力,值得进行详细的遥感研究。本研究将Crosta、频带比和混合调谐匹配滤波(MTMF)方法应用于ASTER遥感数据。利用专门的波段比和Crosta技术确定了泥质、叶质和丙质蚀变带。采用MTMF算法检测针铁矿、赤铁矿、褐铁矿、白云母/伊利石、绿泥石/绿帘石、黄铁矾和高岭石/明矾石的亚像素丰度。据此,在研究区中部、北部、南部和东北部划分了几个蚀变带,可视为高远景带。GPS测量、薄片和抛光切片分析、XRD和地球化学测量验证了高远景带的蚀变带和硫化物矿化。该方法可应用于东反阿特拉斯成矿省其他地区的热液矿床找矿。
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引用次数: 8
Construction and spatio-temporal derivation of hazardous chemical leakage disaster chain 危险化学品泄漏灾害链的构建及其时空推导
IF 2.3 Q3 REMOTE SENSING Pub Date : 2021-07-25 DOI: 10.1080/19479832.2021.1958929
Xinxin Zheng, Fei Wang, Wenyu Jiang, Xiaocui Zheng, Zuhe Wu, Xiaohui Qiao, Q. Meng, Q. Chen
ABSTRACT Hazardous chemicals are indispensable substances for the development of modern industries. However, improper storage, transportation, or handling of hazardous chemicals can cause chain disasters such as leakage and explosion, seriously threatening the safety of people’s lives, society, economy, and natural environment. In this study, we analysed the occurrence and evolution process of various disaster events caused by hazardous chemical leakage based on the disaster system theory, and constructed a hazardous chemical leakage disaster chain from the aspects of disaster-causing factors, disaster-pregnant environment, hazard-affected bodies, and post-disaster losses. Taking a methane leakage accident as a case study, we conducted numerical simulation and spatio-temporal dynamic derivation on the hazardous chemical leakage disaster chain in a three-dimensional (3-D) geographic scene. This study can provide support on handling hazardous chemical leakage disasters and assist informed decision-making, including monitoring, pre-warning, disaster forecast and prevention, emergency preparedness, and post-disaster response, further improving the efficiency of emergency response and urban safety management.
摘要危险化学品是现代工业发展不可或缺的物质。然而,危险化学品的储存、运输或处理不当会引发泄漏、爆炸等连锁灾害,严重威胁人民生命、社会、经济和自然环境的安全。本研究基于灾害系统理论,分析了危险化学品泄漏引发的各种灾害事件的发生和演化过程,从灾害发生因素、灾害孕育环境、灾害影响主体、灾后损失等方面构建了危险化学品泄露灾害链。以一起甲烷泄漏事故为例,在三维地理场景中对危险化学品泄漏灾害链进行了数值模拟和时空动态推导。该研究可以为处理危险化学品泄漏灾害提供支持,并协助知情决策,包括监测、预警、灾害预测和预防、应急准备和灾后应对,进一步提高应急响应和城市安全管理的效率。
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引用次数: 4
Boosting the multiple aircraft online tracking performance via enriching the associated data with fused targets features 通过融合目标特征丰富相关数据,提高多机在线跟踪性能
IF 2.3 Q3 REMOTE SENSING Pub Date : 2021-07-19 DOI: 10.1080/19479832.2021.1953621
A. Awed, Ali Maher, M. Abozied, Y. Elhalwagy
ABSTRACT Multi aircraft tracking from an aerial view is a backbone for several military and civilian applications. Recent tracking by detection approaches was utilized to accomplish such multiple target tracking (MTT) tasks as Simple Online and Real-time Tracking (SORT). SORT is a strong and fast MTT, that employs a Kalman filter for the target motion parameters and the Hungarian method for the data association. But it discards the target appearance for resolving the association problem to preserve the real-time execution which results in increasing the number of (IDS) Identity Switches and decreasing the tracking accuracy. In this work, the target appearance information is incorporated alongside its geometry to leverage the tracking accuracy and reduce the tracklet fragments due to the high number of IDS. The target shape and contextually based feature of Histogram orientation of Gradient (HOG) are combined with its color histogram to enrich the Hungarian association with the appearance information. A recent-released multi-aircraft data set is utilized to examine the proposed improvement through a comparative experiment that reveals the MTT performance-boosting while keeping the real-time execution. The proposed method reduces the tracked targets IDsw by 60.97% that improves the tracker overall accuracy by 8.6% compared to the SORT tracker.
摘要:多机空中跟踪是多种军事和民用应用的支柱。最近的检测跟踪方法被用来完成诸如简单在线和实时跟踪(SORT)之类的多目标跟踪(MTT)任务。SORT是一种强大而快速的MTT,它对目标运动参数采用卡尔曼滤波器,对数据关联采用匈牙利方法。但它放弃了用于解决关联问题的目标外观,以保持实时执行,这导致增加了(IDS)身份开关的数量,降低了跟踪精度。在这项工作中,将目标外观信息与其几何形状结合在一起,以利用跟踪精度,并由于IDS的数量众多而减少小轨迹碎片。梯度直方图方向(HOG)的目标形状和基于上下文的特征与其颜色直方图相结合,以丰富匈牙利与外观信息的关联。利用最近发布的多机数据集,通过比较实验来检验所提出的改进,该实验揭示了MTT性能的提高,同时保持了实时执行。与SORT跟踪器相比,所提出的方法将被跟踪的目标IDsw减少了60.97%,从而将跟踪器的总体精度提高了8.6%。
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引用次数: 2
Coastline changes in mainland China from 2000 to 2015 2000 - 2015年中国大陆海岸线变化
IF 2.3 Q3 REMOTE SENSING Pub Date : 2021-06-30 DOI: 10.1080/19479832.2021.1943011
Ying Zhang, Qinghua Qiao, Jia Liu, H. Sang, Dazhi Yang, L. Zhai, N. Li, Xiaohui Yuan
ABSTRACT The coastline is an indicator line for human exploitation in the coastal zone. With the acceleration of human development and climate change, changes in the coastal zone are more active than ever. Quickly extracting the coastline and monitoring its changes in real time is of great significance for enacting the development and utilisation planning of coastal zones. In this research, we developed an automatic-coastline-extraction technique based on edge detection and object-oriented in complex situations. Meanwhile, on the basis of Landsat TM images, it realised the extraction of the mainland China coastline. Accuracy comparison showed that the matching commission and omission errors between the extracted and reference coastlines within two-pixel radii were 8% and 5%, respectively. The Overall quality reached as high as 87%, achieving an overall mapping accuracy of 1:250,000. We also constructed the index system of coastline exploitation and utilisation to analyse changes of the continental coastline from 2000 to 2015. It was found that natural and economic conditions affected coastline changes, in which the sea-expansion trend of northern China was more concentrated on a larger scale and with a higher load in coastline development and utilisation, while the southern region of China was relatively stable.
摘要海岸线是海岸带人类开发利用的指示线。随着人类发展和气候变化的加速,沿海地区的变化比以往任何时候都更加活跃。快速提取海岸线并实时监测其变化,对于制定海岸带开发利用规划具有重要意义。在本研究中,我们开发了一种基于边缘检测和面向对象的复杂情况下的海岸线自动提取技术。同时,在陆地卫星TM影像的基础上,实现了中国大陆海岸线的提取。精度比较表明,在两个像素半径内提取的海岸线和参考海岸线之间的匹配委托误差和遗漏误差分别为8%和5%。总体质量高达87%,总体制图精度达到1:250000。我们还构建了海岸线开发利用指标体系,分析了2000-2005年大陆海岸线的变化。研究发现,自然和经济条件影响着海岸线的变化,其中中国北方的海洋扩张趋势更集中在更大的规模上,海岸线的开发利用负荷更高,而中国南方地区相对稳定。
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引用次数: 4
Remotely-Sensed Ecosystem Health Assessment (RSEHA) model for assessing the changes of ecosystem health of Lake Urmia Basin 用于评估乌尔米亚湖流域生态系统健康变化的遥感生态系统健康评估(RSEHA)模型
IF 2.3 Q3 REMOTE SENSING Pub Date : 2021-05-25 DOI: 10.1080/19479832.2021.1924880
N. Abbaszadeh Tehrani, H. Z. Mohd Shafri, S. Salehi, J. Chanussot, M. Janalipour
ABSTRACT The widespread, severe negative impacts of human activities on Earth’s ecosystems over the past few decades have highlighted the importance of continuous and up-to-date monitoring of ecosystems health. On the other hand, it has been proven that the use of remote sensing technology in environmental studies can lead to accurate and reliable results with spending less cost and time. This research attempts to use remote sensing indicators and the framework of Vigour, Organization, Resilience, and Services (VORS) to assess ecosystem health by introducing Remotely Sensed Ecosystem Health Assessment (RSEHA) Model. By applying 10 spatiotemporal indices, ecosystem health has been assessed in Lake Urmia Basin (LUB) during the years 2001–2014. The results showed that the health status of LUB in its different parts varied from ‘very strong’ to ‘very poor’. The health status around LUB has changed from ‘poor’ to ‘very poor’, while it has improved, especially in cultivated lands. The health of the lake has been sacrificed in favour of the development of agricultural areas in the basin. Based on validation results, the RSEHA model can determine the ecosystem conditions at pixel level at any time at reasonable cost and accuracy.
在过去的几十年里,人类活动对地球生态系统产生了广泛而严重的负面影响,这凸显了对生态系统健康进行持续和最新监测的重要性。另一方面,事实证明,在环境研究中使用遥感技术可以以较少的成本和时间获得准确可靠的结果。本研究试图通过引入遥感生态系统健康评估模型(RSEHA),利用遥感指标和活力、组织、弹性和服务(VORS)框架对生态系统健康进行评估。采用10个时空指数,对2001-2014年乌尔米亚湖流域生态系统健康状况进行了评价。结果表明,不同部位的LUB健康状况从“非常强”到“非常差”不等。LUB周围的健康状况已从"差"变为"极差",同时有所改善,特别是在耕地方面。为了盆地农业地区的发展,湖泊的健康被牺牲了。基于验证结果,RSEHA模型能够以合理的成本和精度随时确定像元水平的生态系统状况。
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引用次数: 25
Varying weighted spatial quality assessment for high resolution satellite image pan-sharpening 高分辨率卫星图像泛锐化的变加权空间质量评价
IF 2.3 Q3 REMOTE SENSING Pub Date : 2021-05-03 DOI: 10.1080/19479832.2021.1921059
S. Mehravar, Farzaneh Dadras Javan, F. Samadzadegan, A. Toosi, Armin Moghimi, Reza Khatami, A. Stein
ABSTRACT This paper focuses on spatial quality assessment of pan-sharpened imagery that contains valuable information of input images. Its aim is to show that fusion functions respond differently to different types of landscapes. It compares a quality assessment of an object-level procedure with that of a conventional pixel-level-based procedure which assigns uniform quality scores to all image pixels of pan-sharpened images. To do so, after performing a series of pan-sharpening evaluations, a weighted procedure for spatial quality assessments of pan-sharpening products, allocating spatially varying weight factors to the image pixels proportional to their level of spatial information content is proposed. All experiments are performed using five high-resolution image datasets using fusion products produced by three common pan-sharpening algorithms. The datasets are acquired from WorldView-2, QuickBird, and IKONOS. Experimental results show that the spatial distortion of fused images for the class vegetation cover exceeds that of man-made structures, reaching more than 4% in some cases. Our procedure can preclude illogical fidelity estimations occurring when pan-sharpened images contain different land covers. Since particular image structures are of high importance in remote sensing applications, our procedure provides a purpose-oriented estimation of the spatial quality for pan-sharpened images in comparison with conventional procedures.
摘要:本文主要研究了包含输入图像有价值信息的泛锐化图像的空间质量评估。其目的是表明融合功能对不同类型的景观有不同的反应。它比较了对象级程序的质量评估与传统的基于像素级的程序的质量评估,该程序为泛锐化图像的所有图像像素分配统一的质量分数。为此,在进行了一系列泛锐化评价之后,提出了一种泛锐化产品空间质量评价的加权程序,将空间变化的权重因子分配给与其空间信息含量水平成比例的图像像素。所有实验使用5个高分辨率图像数据集进行,使用三种常见泛锐化算法产生的融合产物。数据集来自WorldView-2、QuickBird和IKONOS。实验结果表明,该类植被覆盖融合图像的空间畸变超过人工结构的空间畸变,在某些情况下达到4%以上。我们的程序可以排除当泛锐化图像包含不同的土地覆盖时发生的不合逻辑的保真度估计。由于特定的图像结构在遥感应用中非常重要,因此与传统方法相比,我们的程序提供了面向目的的泛锐化图像空间质量估计。
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引用次数: 2
Fusion of ASTER satellite imagery, geochemical and geology data for gold prospecting in the Astaneh granite intrusive, West Central Iran ASTER卫星图像、地球化学和地质数据的融合,用于伊朗中西部阿斯塔纳花岗岩侵入体的金矿勘探
IF 2.3 Q3 REMOTE SENSING Pub Date : 2021-04-19 DOI: 10.1080/19479832.2021.1915395
H. Moradpour, Ghodratollah Rostami Paydar, B. Feizizadeh, T. Blaschke, A. B. Pour, Khalil Valizadeh Kamran, A. M. Muslim, M. S. Hossain
ABSTRACT In this study, ASTER imagery, geochemical, lithological, and structural data are exploited for Mineral Potential Mapping (MPM) of the Astaneh granitic pluton and its surrounding area. The independent component analysis (ICA) and Matched Filtering (MF) techniques are applied to ASTER data for detecting alteration mineral assemblages. Sericitically argillically altered minerals associated with jarosite and chlorite/epidote are mapped using the ICA technique. MF fraction images derived from n-dimensional visualisation (n-DV) tool facilitated detecting goethite, haematite, limonite, muscovite, kaolinite, illite, chlorite and epidote associated with gold occurrences. The distribution of Cu, Pb, Zn and Au is considered for generating geochemical anomaly layers. Strong Cu, Zn and Au anomalies are found to be associated with gold mineralisation. The lithological units hosting gold mineralisation and intersection of NE–SW and NW–SE trending lineaments are also considered. Fuzzy Logic Model (FLM) was used to generate gold prospectivity map for the study area by fusing the alteration, geochemical, geology and structural layers. Several high prospective zones are identified in the central and southeastern part of the study area. A majority of delineated exploration targets are either linked to the plutonic body or its surrounding metamorphic rocks. This study demonstrated a viable approach for future gold prospecting in the study area.
摘要利用ASTER图像、地球化学、岩性和构造数据,对阿斯塔纳花岗质岩体及其周缘进行了矿产潜力填图(MPM)。将独立分量分析(ICA)和匹配滤波(MF)技术应用于ASTER数据的蚀变矿物组合检测。利用ICA技术绘制了与黄铁矾和绿泥石/绿帘石有关的绢泥蚀变矿物。从n维可视化(n-DV)工具获得的MF分数图像有助于检测与金矿相关的针铁矿、赤铁矿、褐铁矿、白云母、高岭石、伊利石、绿泥石和绿帘石。Cu、Pb、Zn、Au的分布被认为是地球化学异常层的成因。强Cu、Zn、Au异常与金矿化有关。同时考虑了含金矿化的岩性单元以及NE-SW和NW-SE走向的交汇。利用模糊逻辑模型(FLM)对研究区蚀变层、地球化学层、地质层和构造层进行融合,生成了找矿图。在研究区中部和东南部确定了几个高远景区。大部分已圈定的勘探目标都与深部岩体或其周围的变质岩有关。为研究区今后找矿提供了一条可行的途径。
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引用次数: 6
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International Journal of Image and Data Fusion
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