International Journal of Image and Data Fusion最新文献_第7页

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

International Journal of Image and Data Fusion Pub Date : 2021-07-19 DOI: 10.1080/19479832.2021.1953621

A. Awed, Ali Maher, M. Abozied, Y. Elhalwagy

{"title":"Boosting the multiple aircraft online tracking performance via enriching the associated data with fused targets features","authors":"A. Awed, Ali Maher, M. Abozied, Y. Elhalwagy","doi":"10.1080/19479832.2021.1953621","DOIUrl":"https://doi.org/10.1080/19479832.2021.1953621","url":null,"abstract":"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.","PeriodicalId":46012,"journal":{"name":"International Journal of Image and Data Fusion","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2021-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/19479832.2021.1953621","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48870609","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: 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

International Journal of Image and Data Fusion 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

{"title":"Coastline changes in mainland China from 2000 to 2015","authors":"Ying Zhang, Qinghua Qiao, Jia Liu, H. Sang, Dazhi Yang, L. Zhai, N. Li, Xiaohui Yuan","doi":"10.1080/19479832.2021.1943011","DOIUrl":"https://doi.org/10.1080/19479832.2021.1943011","url":null,"abstract":"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.","PeriodicalId":46012,"journal":{"name":"International Journal of Image and Data Fusion","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/19479832.2021.1943011","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48678911","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

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

International Journal of Image and Data Fusion Pub Date : 2021-05-25 DOI: 10.1080/19479832.2021.1924880

N. Abbaszadeh Tehrani, H. Z. Mohd Shafri, S. Salehi, J. Chanussot, M. Janalipour

{"title":"Remotely-Sensed Ecosystem Health Assessment (RSEHA) model for assessing the changes of ecosystem health of Lake Urmia Basin","authors":"N. Abbaszadeh Tehrani, H. Z. Mohd Shafri, S. Salehi, J. Chanussot, M. Janalipour","doi":"10.1080/19479832.2021.1924880","DOIUrl":"https://doi.org/10.1080/19479832.2021.1924880","url":null,"abstract":"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.","PeriodicalId":46012,"journal":{"name":"International Journal of Image and Data Fusion","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2021-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/19479832.2021.1924880","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43626194","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: 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

International Journal of Image and Data Fusion 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

{"title":"Varying weighted spatial quality assessment for high resolution satellite image pan-sharpening","authors":"S. Mehravar, Farzaneh Dadras Javan, F. Samadzadegan, A. Toosi, Armin Moghimi, Reza Khatami, A. Stein","doi":"10.1080/19479832.2021.1921059","DOIUrl":"https://doi.org/10.1080/19479832.2021.1921059","url":null,"abstract":"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.","PeriodicalId":46012,"journal":{"name":"International Journal of Image and Data Fusion","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2021-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/19479832.2021.1921059","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42897129","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: 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

International Journal of Image and Data Fusion 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

{"title":"Fusion of ASTER satellite imagery, geochemical and geology data for gold prospecting in the Astaneh granite intrusive, West Central Iran","authors":"H. Moradpour, Ghodratollah Rostami Paydar, B. Feizizadeh, T. Blaschke, A. B. Pour, Khalil Valizadeh Kamran, A. M. Muslim, M. S. Hossain","doi":"10.1080/19479832.2021.1915395","DOIUrl":"https://doi.org/10.1080/19479832.2021.1915395","url":null,"abstract":"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.","PeriodicalId":46012,"journal":{"name":"International Journal of Image and Data Fusion","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2021-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/19479832.2021.1915395","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43777646","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: 6

A new fusion framework for motion segmentation in dynamic scenes 一种新的动态场景运动分割融合框架

IF 2.3

International Journal of Image and Data Fusion Pub Date : 2021-04-03 DOI: 10.1080/19479832.2021.1900408

Lazhar Khelifi, M. Mignotte

{"title":"A new fusion framework for motion segmentation in dynamic scenes","authors":"Lazhar Khelifi, M. Mignotte","doi":"10.1080/19479832.2021.1900408","DOIUrl":"https://doi.org/10.1080/19479832.2021.1900408","url":null,"abstract":"ABSTRACT Motion segmentation in dynamic scenes is currently widely dominated by parametric methods based on deep neural networks. The present study explores the unsupervised segmentation approach that can be used in the absence of training data to segment new videos. In particular, it tackles the task of dynamic texture segmentation. By automatically assigning a single class label to each region or group, this task consists of clustering into groups complex phenomena and characteristics which are both spatially and temporally repetitive. We present an effective fusion framework for motion segmentation in dynamic scenes (FFMS). This model is designed to merge different segmentation maps that contain multiple and weak quality regions in order to achieve a more accurate final result of segmentation. The diverse labelling fields required for the combination process are obtained by a simplified grouping scheme applied to an input video (on the basis of a three orthogonal planes: , and ). Experiments conducted on two challenging datasets (SynthDB and YUP++) show that, contrary to current motion segmentation approaches that either require parameter estimation or a training step, FFMS is significantly faster, easier to code, simple and has limited parameters.","PeriodicalId":46012,"journal":{"name":"International Journal of Image and Data Fusion","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2021-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/19479832.2021.1900408","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48204831","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: 2

Singular value decomposition and saliency - map based image fusion for visible and infrared images 基于奇异值分解和显著性映射的可见光和红外图像融合

IF 2.3

International Journal of Image and Data Fusion Pub Date : 2021-01-11 DOI: 10.1080/19479832.2020.1864786

C. Rajakumar, S. Satheeskumaran

{"title":"Singular value decomposition and saliency - map based image fusion for visible and infrared images","authors":"C. Rajakumar, S. Satheeskumaran","doi":"10.1080/19479832.2020.1864786","DOIUrl":"https://doi.org/10.1080/19479832.2020.1864786","url":null,"abstract":"ABSTRACT Multiple sensors capture many images and these images are fused as a single image in many applications to obtain high spatial and spectral resolution. A new image fusion method is proposed in this work to enhance the fusion of infrared and visible images. Image fusion methods based on convolutional neural networks, edge-preserving filters and lower rank approximation require high computational complexity and it is very slow for complex tasks. To overcome these drawbacks, singular value decomposition (SVD) based image fusion is proposed. In SVD, accurate decomposition is performed and most of the information is packed in few singular values for a given image. Singular value decomposition decomposes the source images into base and detail layers. Visual saliency and weight map are constructed to integrate information and complimentary information into detail layers. Statistical techniques are used to fuse base layers and the fused image is a linear combination of base and detail layers. Visual inspection and fusion metrics are considered to validate the performance of image fusion. Testing the proposed method on several image pairs indicates that it is superior or comparable to the existing methods.","PeriodicalId":46012,"journal":{"name":"International Journal of Image and Data Fusion","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2021-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/19479832.2020.1864786","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43491845","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

UWB positioning algorithm and accuracy evaluation for different indoor scenes UWB定位算法及其在不同室内场景下的精度评估

IF 2.3

International Journal of Image and Data Fusion Pub Date : 2021-01-04 DOI: 10.1080/19479832.2020.1864788

Jian Wang, Minmin Wang, Deng Yang, Fei Liu, Zheng Wen

{"title":"UWB positioning algorithm and accuracy evaluation for different indoor scenes","authors":"Jian Wang, Minmin Wang, Deng Yang, Fei Liu, Zheng Wen","doi":"10.1080/19479832.2020.1864788","DOIUrl":"https://doi.org/10.1080/19479832.2020.1864788","url":null,"abstract":"ABSTRACT UWB indoor positioning is a research hotspot, but there are few literatures systematically describing different positioning algorithms for different scenes. Therefore, several positioning algorithms are proposed for different indoor scenes. Firstly, for the sensing positioning scenes, a sensing positioning algorithm is proposed. Secondly, for the straight and narrow scenes, a two anchors robust positioning algorithm based on high pass filter is proposed. Experimental results show that this algorithm has better positioning accuracy and robustness than the traditional algorithm. Then, for ordinary indoor scenes, a robust indoor positioning model is proposed based on robust Kalman filter and total LS, which considers the coordinate error of UWB anchors. The positioning accuracy is 0.093m, which is about 29.54% higher than that of the traditional LS algorithm. Finally, for indoor scenes with map information, a map aided indoor positioning algorithm is proposed based on two UWB anchors. This algorithm can effectively improve the reliability and reduce the cost of UWB indoor positioning system, which average positioning accuracy is 0.238m. The biggest innovation of this paper lies in the systematic description of multi-scene positioning algorithm and the realisation of indoor positioning based on double anchors.","PeriodicalId":46012,"journal":{"name":"International Journal of Image and Data Fusion","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2021-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/19479832.2020.1864788","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48018199","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: 6

Modified PLVP with Optimised Deep Learning for Morphological based Road Extraction 基于形态学道路提取的改进PLVP优化深度学习

IF 2.3

International Journal of Image and Data Fusion Pub Date : 2021-01-04 DOI: 10.1080/19479832.2020.1864785

Abhay K. Kolhe, A. Bhise

{"title":"Modified PLVP with Optimised Deep Learning for Morphological based Road Extraction","authors":"Abhay K. Kolhe, A. Bhise","doi":"10.1080/19479832.2020.1864785","DOIUrl":"https://doi.org/10.1080/19479832.2020.1864785","url":null,"abstract":"ABSTRACT This paper introduces a new modified local pattern descriptor to extract road from rural areas’ aerial imagery. The introduced local pattern descriptor is actually the modification of the proposed local vector pattern (P-LVP), and it is named as Modified-PLVP (M-PLVP). In fact, M-PLVP extracts the texture features from both road and non-road pixels. The features are subjected to train the Deep belief Network (DBN); thereby the unknown aerial imagery is classified into road and non-road pixel. Further, to improve the classification rate of DBN, morphological operations and grey thresholding operations are performed and so that the road segmentation is performed. Apart from this improvement, this paper incorporates the optimisation concept in the DBN classifier, where the activation function and the count of hidden neurons are optimally selected by a new Trail-based WOA (T-WOA) algorithm, which is the improvement of the Whale Optimisation Algorithm (WOA). Finally, the performance of proposed M-PLVP is compared over other local pattern descriptors concerning measures like Accuracy, Sensitivity, Specificity, Precision, Negative Predictive Value (NPV), F1Score and Mathews correlation coefficient (MCC), False positive rate (FPR), False negative rate (FNR), and False Discovery Rate (FDR), and proves the betterments of M-PLVP over others.","PeriodicalId":46012,"journal":{"name":"International Journal of Image and Data Fusion","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2021-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/19479832.2020.1864785","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47047947","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

Colour band fusion and region enhancement of spectral image using multivariate histogram 基于多元直方图的光谱图像波段融合与区域增强

IF 2.3

International Journal of Image and Data Fusion Pub Date : 2021-01-02 DOI: 10.1080/19479832.2020.1870578

Dhiman Karmakar, Rajib Sarkar, Madhura Datta

{"title":"Colour band fusion and region enhancement of spectral image using multivariate histogram","authors":"Dhiman Karmakar, Rajib Sarkar, Madhura Datta","doi":"10.1080/19479832.2020.1870578","DOIUrl":"https://doi.org/10.1080/19479832.2020.1870578","url":null,"abstract":"ABSTRACT Multi-spectral satellite remote sensing imagery have several applications including detection of objects or distinguishing land surface areas based on amount of greenery or water etc. The enhancement of spectral images helps extracting and visualizing spatial and spectral features. This paper identifies some specific regions of interest (RoI) of the earth's surface from the remotely sensed spectral or satellite image. The RoI are extracted and identified as major segments. Trivially, uni-variate histogram thresholding is used for gray images as a tool of segmentation. However, for color images multivariate histogram is effective to get control on color bands. It also helps emphasizing color information for clustering purpose. In this paper, the 2D and 3D histograms are used for clustering pixels in order to extract the RoI. The RGB color bands along with the infrared (IR) band information are used to form the multivariate histogram. Two datasets are used to carry out the experiment. The first one is an artificially designed dataset and the next is Indian Remotely Sensed (IRS-1A) satellite imagery. This paper proves the correctness of the proposed mathematical implication on the artificial dataset and consequently perform the application on LandSat Spectral data. The test result is found to be satisfactory.","PeriodicalId":46012,"journal":{"name":"International Journal of Image and Data Fusion","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2021-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/19479832.2020.1870578","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43685667","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