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Score-ranking smooth average precision loss for remote sensing image retrieval 用于遥感图像检索的评分排序平滑平均精度损失
IF 1.9 4区 地球科学 Q1 Social Sciences Pub Date : 2024-01-18 DOI: 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...
在遥感图像检索任务中,深度度量学习损失是学习图像之间语义相似性关系的有效方法。然而,大多数深度度量学习损耗都是...
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引用次数: 0
Author Awards 2023 2023 年作家奖
IF 1.9 4区 地球科学 Q1 Social Sciences Pub Date : 2023-12-19 DOI: 10.1080/14498596.2023.2287910
Published in Journal of Spatial Science (Vol. 68, No. 4, 2023)
发表于《空间科学杂志》(第 68 卷第 4 期,2023 年)
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引用次数: 0
Uncertainty based regional-decision fusion of multispectral and nDSM for ultra-high resolution UAV imagery 基于不确定性的多光谱和 nDSM 区域决策融合,用于超高分辨率无人机图像
IF 1.9 4区 地球科学 Q1 Social Sciences Pub Date : 2023-12-14 DOI: 10.1080/14498596.2023.2286365
Ashish Soni, Radhakanta Koner, Vasant Govind Kumar Villuri
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…
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引用次数: 0
Estimation of natural vegetation phenology metrics using time series EVI over Jharkhand state, India 利用印度恰尔肯德邦上空的时间序列 EVI 估算自然植被物候指标
IF 1.9 4区 地球科学 Q1 Social Sciences Pub Date : 2023-12-07 DOI: 10.1080/14498596.2023.2281926
Niraj Priyadarshi, Suparn Pathak, Debasish Chakraborty, Vemuri Muthayya Chowdary, Sushil Kumar Srivastav, Chandrasekar Kamalakannan, Jeganathan Chockalingam, Soumya Bandyopadhyay
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...
本研究使用了18年(2001-2018)基于中分辨率成像光谱仪的贾坎德邦增强型植被指数产品,提取了基于Ha的物候指标。
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引用次数: 0
A Gaussian filter-based window for efficient SAR image matching 基于高斯滤波的高效SAR图像匹配窗口
IF 1.9 4区 地球科学 Q1 Social Sciences Pub Date : 2023-11-21 DOI: 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...
特征提取的重复性和描述符的显著性是影响合成孔径雷达(SAR)图像匹配的关键因素。这些因素在很大程度上……
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引用次数: 0
Event pattern analysis: the point density around the appearance and disappearance of points 事件模式分析:点的密度围绕点的出现和消失
IF 1.9 4区 地球科学 Q1 Social Sciences Pub Date : 2023-11-21 DOI: 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。
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引用次数: 0
BIM-based connectivity graph and voxels classification for pedestrian-hazard interaction 基于bim的行人-危险交互连通性图和体素分类
IF 1.9 4区 地球科学 Q1 Social Sciences Pub Date : 2023-11-21 DOI: 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...
本文的重点是建立建筑实体之间的连通性图,以模拟危险流和行人与危险之间的相互作用。虽然有三种不同的方式…
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引用次数: 0
An expanded dual quaternion algorithm for 3D Helmert transformation and determination of the VCV matrix of the transformation’s parameters 三维Helmert变换的扩展对偶四元数算法及变换参数VCV矩阵的确定
IF 1.9 4区 地球科学 Q1 Social Sciences Pub Date : 2023-11-21 DOI: 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...
三维坐标变换是计算机图形学、机器人、航空学、计算机视觉等许多领域中经常遇到的问题,此外,在测量、数据分析等领域中也有应用。
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引用次数: 0
Salt Land classification based on pansharpening images using Random Forest algorithm 基于随机森林算法的pansharpening图像的盐地分类
4区 地球科学 Q1 Social Sciences Pub Date : 2023-10-19 DOI: 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).
摘要国家盐业生产的分析和决策需要高质量的盐地地图,并提供更详细的目标信息。本研究利用随机森林算法,在pansharpening图像的基础上,成功地将Salt Land划分为Active和Inactive。结果表明:1)UNB PanSharp是最佳的泛锐化方法;2)纹理变量对分类准确率的提升贡献更显著;3)方案5是目前研究中最有效的推荐方案,OA为66.699%,Kappa系数为39.4%。本研究可为盐地测绘及相关政策的制定提供参考。关键词:盐田sharpenrandom Forest算法披露声明作者未报告潜在利益冲突。
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引用次数: 0
GWPCA-based spatial analysis of urban vitality: a comparative assessment of three high-altitude Himalayan towns in India 基于gwpca的城市活力空间分析——以印度喜马拉雅地区三个高海拔城镇为例
4区 地球科学 Q1 Social Sciences Pub Date : 2023-10-18 DOI: 10.1080/14498596.2023.2267011
Subham Roy, Suranjan Majumder, Arghadeep Bose, Indrajit Roy Chowdhury
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引用次数: 1
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Journal of Spatial Science
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