International Journal of Image and Data Fusion最新文献_第6页

Acknowledgement to Reviewers of the International Journal of Image and Data Fusion in 2021 2021年《国际图像与数据融合杂志》评审员致谢

IF 2.3

International Journal of Image and Data Fusion Pub Date : 2021-10-02 DOI: 10.1080/19479832.2021.1995136

M. Abdelkareem, S. Auer, A. B. Pour, Jianguo Chen, Jian Cheng, M. Datcu, Huihui Feng, Shubham Gupta, M. Hashim, Maryam Imani, W. Kainz, M. S. Karoui, T. Kavzoglu, Fatemeh Kowkabi, Anil Kumar, Xue Li, Zengke Li, Feng

引用次数: 0

Unsupervised hyperspectral band selection with deep autoencoder unmixing 无监督高光谱波段选择与深度自动编码器解混

IF 2.3

International Journal of Image and Data Fusion Pub Date : 2021-08-30 DOI: 10.1080/19479832.2021.1972047

M. Elkholy, M. Mostafa, H. M. Ebeid, M. Tolba

{"title":"Unsupervised hyperspectral band selection with deep autoencoder unmixing","authors":"M. Elkholy, M. Mostafa, H. M. Ebeid, M. Tolba","doi":"10.1080/19479832.2021.1972047","DOIUrl":"https://doi.org/10.1080/19479832.2021.1972047","url":null,"abstract":"ABSTRACT Hyperspectral imaging (HSI) is a beneficial source of information for numerous civil and military applications, but high dimensionality and strong correlation limits HSI classification performance. Band selection aims at selecting the most informative bands to minimise the computational cost and eliminate redundant information. In this paper, we propose a new unsupervised band selection approach that benefits from the current dominant stream of deep learning frameworks. The proposed approach consists of two consecutive phases: unmixing and cluster. In the unmixing phase, we utilised a nonlinear deep autoencoder to extract accurate material spectra. In the cluster phase, we calculate the variance for each obtained endmember to construct a variances vector. Then, classical K-mean was adopted to cluster the variances vectors. Finally, the optimal band subset was obtained by choosing only one spectral band for each cluster. We carried out several experiments on three hyperspectral datasets to test the feasibility and generality of the proposed approach. Experimental results indicate that the proposed approach surpasses several state-of-the-art counterparts by an average of 4% in terms of overall accuracy.","PeriodicalId":46012,"journal":{"name":"International Journal of Image and Data Fusion","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2021-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43736633","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 10

GNSS-aided accelerometer frequency domain integration approach to monitor structural dynamic displacements GNSS辅助加速度计频域积分法监测结构动态位移

IF 2.3

International Journal of Image and Data Fusion Pub Date : 2021-08-29 DOI: 10.1080/19479832.2021.1967468

Xu Liu, Jian Wang, Jie Zhen, Houzeng Han, C. Hancock

{"title":"GNSS-aided accelerometer frequency domain integration approach to monitor structural dynamic displacements","authors":"Xu Liu, Jian Wang, Jie Zhen, Houzeng Han, C. Hancock","doi":"10.1080/19479832.2021.1967468","DOIUrl":"https://doi.org/10.1080/19479832.2021.1967468","url":null,"abstract":"ABSTRACT The accelerometer frequency domain integration approach (FDIA) is being actively applied to calculate dynamic displacement responses of large engineering structures. However, it is a relative acceleration measurement as the initial position is unavailable. GNSS offers direct displacement measurements, but has the limitation of relatively low frequency of data compared with alternative measurement techniques. Therefore, this paper proposes an improved FDIA utilising the advantages of GNSS to gain accurate information about the initial position. The performance of the proposed approach is first validated through software simulation. Following the validation, a series of shaking table tests using various vibration frequencies (0.5 HZ, 1 HZ, 1.5 HZ, 2 HZ and 2.5 HZ) are performed at the south square of Beijing University of Civil Engineering and Architecture (BUCEA) using one GNSS receiver and one accelerometer. The results show that the proposed approach can effectively avoid the uncertainty of the initial value and thus enhance the direct measurement accuracy of the dynamic displacements of structures, with root mean square error (RMSE) decreasing from 11.4 mm to 6.8 mm.","PeriodicalId":46012,"journal":{"name":"International Journal of Image and Data Fusion","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2021-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48502597","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

A moving ISAR-object recognition using pi-sigma neural networks based on histogram of oriented gradient of edge 基于边缘方向梯度直方图的pi-sigma神经网络运动isar目标识别

IF 2.3

International Journal of Image and Data Fusion Pub Date : 2021-08-12 DOI: 10.1080/19479832.2021.1953620

Asma Elyounsi, H. Tlijani, M. Bouhlel

{"title":"A moving ISAR-object recognition using pi-sigma neural networks based on histogram of oriented gradient of edge","authors":"Asma Elyounsi, H. Tlijani, M. Bouhlel","doi":"10.1080/19479832.2021.1953620","DOIUrl":"https://doi.org/10.1080/19479832.2021.1953620","url":null,"abstract":"ABSTRACT Detection and classification with traditional neural networks methods such as multilayer perceptron (MLP), feed forward network and back propagation neural networks show several drawbacks including the rate of convergence and the incapacity facing the problems of size of the image especially for radar images. As a result, these methods are being replaced by other evolutional classification methods such as Higher Order Neural Networks (HONN) (Functional Link Artificial Neural Network (FLANN), Pi Sigma Neural Network (PSNN), Neural Network Product Unit (PUNN) and Neural Network of the Higher Order Processing Unit. So, in this paper, we address radar object detection and classification problems with a new strategy by using PSNN and a new proposed method HOGE for edges features extraction based on morphological operators and histogram of oriented gradient. Thus, in order to recognise radar object, we extract HOG features of the object region and classify our target with PSNN. The HOGE features vector is used as input of pi-sigma NN. The proposed method was tested and confirmed based on experiments through the use of 2D and 3D ISAR images.","PeriodicalId":46012,"journal":{"name":"International Journal of Image and Data Fusion","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2021-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49082665","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Landslide susceptibility mapping with the fusion of multi-feature SVM model based FCM sampling strategy: A case study from Shaanxi Province 基于FCM采样策略的多特征SVM模型融合滑坡敏感性制图——以陕西省为例

IF 2.3

International Journal of Image and Data Fusion Pub Date : 2021-08-11 DOI: 10.1080/19479832.2021.1961316

Mengmeng Liu, Jiping Liu, Shenghua Xu, Tao Zhou, Yu Ma, Fuhao Zhang, M. Konečný

{"title":"Landslide susceptibility mapping with the fusion of multi-feature SVM model based FCM sampling strategy: A case study from Shaanxi Province","authors":"Mengmeng Liu, Jiping Liu, Shenghua Xu, Tao Zhou, Yu Ma, Fuhao Zhang, M. Konečný","doi":"10.1080/19479832.2021.1961316","DOIUrl":"https://doi.org/10.1080/19479832.2021.1961316","url":null,"abstract":"ABSTRACT The quality of “non-landslide’ samples data impacts the accuracy of geological hazard risk assessment. This research proposed a method to improve the performance of support vector machine (SVM) by perfecting the quality of ‘non-landslide’ samples in the landslide susceptibility evaluation model through fuzzy c-means (FCM) cluster to generate more reliable susceptibility maps. Firstly, three sample selection scenarios for ‘non-landslide’ samples include the following principles: 1) select randomly from low-slope areas (scenario-SS), 2) select randomly from areas with no hazards (scenario-RS), 3) obtain samples from the optimal FCM model (scenario-FCM), and then three sample scenarios are constructed with 10,193 landslide positive samples. Next, we have compared and evaluated the performance of three sample scenarios in the SVM models based on the statistical indicators such as the proportion of disaster points, density of disaster points precision, receiver operating characteristic (ROC) curve, and area under the ROC curve (AUC). Finally, The evaluation results show that the ‘non-landslide’ negative samples based on the FCM model are more reasonable. Furthermore, the hybrid method supported by SVM and FCM models exhibits the highest prediction efficiency. Scenario FCM produces an overall accuracy of approximately 89.7% (AUC), followed by scenario-SS (86.7%) and scenario-RS (85.6%).","PeriodicalId":46012,"journal":{"name":"International Journal of Image and Data Fusion","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2021-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43625646","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

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

International Journal of Image and Data Fusion Pub Date : 2021-08-10 DOI: 10.1080/19479832.2021.1961314

An Luo, Jiping Liu, Pengpeng Li, Yong Wang, Shenghua Xu

{"title":"Chinese address standardisation of POIs based on GRU and spatial correlation and applied in multi-source emergency events fusion","authors":"An Luo, Jiping Liu, Pengpeng Li, Yong Wang, Shenghua Xu","doi":"10.1080/19479832.2021.1961314","DOIUrl":"https://doi.org/10.1080/19479832.2021.1961314","url":null,"abstract":"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.","PeriodicalId":46012,"journal":{"name":"International Journal of Image and Data Fusion","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2021-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43398608","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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

International Journal of Image and Data Fusion Pub Date : 2021-08-09 DOI: 10.1080/19479832.2021.1963329

F. Ren, Yiwen Li, Zhihe Zheng, Han Yan, Qingyun Du

{"title":"Online emergency mapping based on disaster scenario and data integration","authors":"F. Ren, Yiwen Li, Zhihe Zheng, Han Yan, Qingyun Du","doi":"10.1080/19479832.2021.1963329","DOIUrl":"https://doi.org/10.1080/19479832.2021.1963329","url":null,"abstract":"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.","PeriodicalId":46012,"journal":{"name":"International Journal of Image and Data Fusion","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2021-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46577044","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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

International Journal of Image and Data Fusion 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

{"title":"A suitability visualisation method for flood fusion 3D scene guided by disaster information","authors":"LanXiang Luo, Jun Zhu, Lin Fu, S. Pirasteh, Weilian Li, Xiao Han, Yukun Guo","doi":"10.1080/19479832.2021.1961315","DOIUrl":"https://doi.org/10.1080/19479832.2021.1961315","url":null,"abstract":"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.","PeriodicalId":46012,"journal":{"name":"International Journal of Image and Data Fusion","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2021-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/19479832.2021.1961315","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44994752","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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

International Journal of Image and Data Fusion 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

{"title":"Identifying hydrothermally altered rocks using ASTER satellite imageries in Eastern Anti-Atlas of Morocco: a case study from Imiter silver mine","authors":"Y. Atif, A. Soulaimani, Atman Ait lamqadem, A. B. Pour, B. Pradhan, El Aouad Nouamane, Kharis Abdelali, A. M. Muslim, M. S. Hossain","doi":"10.1080/19479832.2021.1958928","DOIUrl":"https://doi.org/10.1080/19479832.2021.1958928","url":null,"abstract":"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.","PeriodicalId":46012,"journal":{"name":"International Journal of Image and Data Fusion","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2021-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/19479832.2021.1958928","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"60533810","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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

International Journal of Image and Data Fusion 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

{"title":"Construction and spatio-temporal derivation of hazardous chemical leakage disaster chain","authors":"Xinxin Zheng, Fei Wang, Wenyu Jiang, Xiaocui Zheng, Zuhe Wu, Xiaohui Qiao, Q. Meng, Q. Chen","doi":"10.1080/19479832.2021.1958929","DOIUrl":"https://doi.org/10.1080/19479832.2021.1958929","url":null,"abstract":"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.","PeriodicalId":46012,"journal":{"name":"International Journal of Image and Data Fusion","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2021-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/19479832.2021.1958929","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42195799","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4