Pub Date : 2024-01-18DOI: 10.1080/14498596.2024.2302167
Yun Ge, Qiyang Liu, Gang Wu, Sijia Wang, Famao Ye
In remote sensing image retrieval task, deep metric learning loss is an effective method for learning semantic similarity relationships between images. However, most deep metric learning losses tre...
{"title":"Score-ranking smooth average precision loss for remote sensing image retrieval","authors":"Yun Ge, Qiyang Liu, Gang Wu, Sijia Wang, Famao Ye","doi":"10.1080/14498596.2024.2302167","DOIUrl":"https://doi.org/10.1080/14498596.2024.2302167","url":null,"abstract":"In remote sensing image retrieval task, deep metric learning loss is an effective method for learning semantic similarity relationships between images. However, most deep metric learning losses tre...","PeriodicalId":50045,"journal":{"name":"Journal of Spatial Science","volume":"34 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139495729","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The recent advancement in the pattern recognition technique has demonstrated the superiority of remote sensing technology. Deep neural networks use spatial feature representations such as convoluti...
近年来模式识别技术的发展表明了遥感技术的优越性。深度神经网络使用空间特征表示，如卷积…
{"title":"Uncertainty based regional-decision fusion of multispectral and nDSM for ultra-high resolution UAV imagery","authors":"Ashish Soni, Radhakanta Koner, Vasant Govind Kumar Villuri","doi":"10.1080/14498596.2023.2286365","DOIUrl":"https://doi.org/10.1080/14498596.2023.2286365","url":null,"abstract":"The recent advancement in the pattern recognition technique has demonstrated the superiority of remote sensing technology. Deep neural networks use spatial feature representations such as convoluti...","PeriodicalId":50045,"journal":{"name":"Journal of Spatial Science","volume":"56 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2023-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138629479","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study used 18 years (2001–2018) of Moderate Resolution Imaging Spectroradiometer-based Enhanced Vegetation Index products over Jharkhand state to extract phenology metrics based on Ha...
{"title":"Estimation of natural vegetation phenology metrics using time series EVI over Jharkhand state, India","authors":"Niraj Priyadarshi, Suparn Pathak, Debasish Chakraborty, Vemuri Muthayya Chowdary, Sushil Kumar Srivastav, Chandrasekar Kamalakannan, Jeganathan Chockalingam, Soumya Bandyopadhyay","doi":"10.1080/14498596.2023.2281926","DOIUrl":"https://doi.org/10.1080/14498596.2023.2281926","url":null,"abstract":"This study used 18 years (2001–2018) of Moderate Resolution Imaging Spectroradiometer-based Enhanced Vegetation Index products over Jharkhand state to extract phenology metrics based on Ha...","PeriodicalId":50045,"journal":{"name":"Journal of Spatial Science","volume":"15 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2023-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138629810","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-21DOI: 10.1080/14498596.2023.2274992
Yukio Sadahiro
Point pattern analysis is a fundamental analytical tool in various academic fields related to spatial information science. Basic but important patterns discussed in existing studies are spatially c...
点模式分析是空间信息科学相关领域的基本分析工具。现有研究中讨论的基本但重要的模式是空间模式。
{"title":"Event pattern analysis: the point density around the appearance and disappearance of points","authors":"Yukio Sadahiro","doi":"10.1080/14498596.2023.2274992","DOIUrl":"https://doi.org/10.1080/14498596.2023.2274992","url":null,"abstract":"Point pattern analysis is a fundamental analytical tool in various academic fields related to spatial information science. Basic but important patterns discussed in existing studies are spatially c...","PeriodicalId":50045,"journal":{"name":"Journal of Spatial Science","volume":"126 12","pages":""},"PeriodicalIF":1.9,"publicationDate":"2023-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138513613","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-21DOI: 10.1080/14498596.2023.2274998
Sourabh Paul, Pavitra Y., Rehana S., Vineesha D.
Repeatability of the extracted features and the distinctiveness of the descriptors have been the critical factors in synthetic aperture radar (SAR) image matching. These factors are significantly a...
{"title":"A Gaussian filter-based window for efficient SAR image matching","authors":"Sourabh Paul, Pavitra Y., Rehana S., Vineesha D.","doi":"10.1080/14498596.2023.2274998","DOIUrl":"https://doi.org/10.1080/14498596.2023.2274998","url":null,"abstract":"Repeatability of the extracted features and the distinctiveness of the descriptors have been the critical factors in synthetic aperture radar (SAR) image matching. These factors are significantly a...","PeriodicalId":50045,"journal":{"name":"Journal of Spatial Science","volume":"15 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2023-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138542847","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-21DOI: 10.1080/14498596.2023.2281923
Mitko Aleksandrov, Sisi Zlatanova, David J. Heslop, Abdoulaye Diakite
This paper concentrates on establishing a connectivity graph between building entities to model hazard flow and the interaction between pedestrians and hazards. Although three different ways are ex...
{"title":"BIM-based connectivity graph and voxels classification for pedestrian-hazard interaction","authors":"Mitko Aleksandrov, Sisi Zlatanova, David J. Heslop, Abdoulaye Diakite","doi":"10.1080/14498596.2023.2281923","DOIUrl":"https://doi.org/10.1080/14498596.2023.2281923","url":null,"abstract":"This paper concentrates on establishing a connectivity graph between building entities to model hazard flow and the interaction between pedestrians and hazards. Although three different ways are ex...","PeriodicalId":50045,"journal":{"name":"Journal of Spatial Science","volume":"127 10","pages":""},"PeriodicalIF":1.9,"publicationDate":"2023-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138513612","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-21DOI: 10.1080/14498596.2023.2274997
Sebahattin Bektas
3D coordinate transformation is a problem frequently encountered in many different fields, for example, computer graphics, robotics, aeronautics and computer vision, in addition, in surveying, datu...
{"title":"An expanded dual quaternion algorithm for 3D Helmert transformation and determination of the VCV matrix of the transformation’s parameters","authors":"Sebahattin Bektas","doi":"10.1080/14498596.2023.2274997","DOIUrl":"https://doi.org/10.1080/14498596.2023.2274997","url":null,"abstract":"3D coordinate transformation is a problem frequently encountered in many different fields, for example, computer graphics, robotics, aeronautics and computer vision, in addition, in surveying, datu...","PeriodicalId":50045,"journal":{"name":"Journal of Spatial Science","volume":"101 5","pages":""},"PeriodicalIF":1.9,"publicationDate":"2023-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138513678","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-19DOI: 10.1080/14498596.2023.2267013
Diastarini Diastarini, Riantini Virtriana, Agung Budi Harto
ABSTRACTThe analysis and policymaking of national salt production require quality Salt Land maps with more detailed object information. This study successfully classified Salt Land into Active and Inactive based on pansharpening images using random forest algorithm. The results show: 1) the best pansharpening method is UNB PanSharp; 2) the texture variables have more significant contributions to enhance classification accuracy; 3) scheme 5 is the most efficient and recommended scheme in research, achieves an OA of 66.699% and a Kappa coefficient of 39.4%. This study can provide a good reference for developing Salt Land mapping and policies for practitioners or stakeholders.KEYWORDS: Salt LandpansharpeningRandom Forest algorithm Disclosure statementNo potential conflict of interest was reported by the author(s).
{"title":"Salt Land classification based on pansharpening images using Random Forest algorithm","authors":"Diastarini Diastarini, Riantini Virtriana, Agung Budi Harto","doi":"10.1080/14498596.2023.2267013","DOIUrl":"https://doi.org/10.1080/14498596.2023.2267013","url":null,"abstract":"ABSTRACTThe analysis and policymaking of national salt production require quality Salt Land maps with more detailed object information. This study successfully classified Salt Land into Active and Inactive based on pansharpening images using random forest algorithm. The results show: 1) the best pansharpening method is UNB PanSharp; 2) the texture variables have more significant contributions to enhance classification accuracy; 3) scheme 5 is the most efficient and recommended scheme in research, achieves an OA of 66.699% and a Kappa coefficient of 39.4%. This study can provide a good reference for developing Salt Land mapping and policies for practitioners or stakeholders.KEYWORDS: Salt LandpansharpeningRandom Forest algorithm Disclosure statementNo potential conflict of interest was reported by the author(s).","PeriodicalId":50045,"journal":{"name":"Journal of Spatial Science","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135729629","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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