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International Journal of Applied Earth Observation and Geoinformation最新文献

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Segmentation of individual trees in urban MLS point clouds using a deep learning framework based on cylindrical convolution network 基于圆柱卷积网络的深度学习框架在城市MLS点云中对树木进行分割
IF 7.5 1区 地球科学 Q1 Earth and Planetary Sciences
International Journal of Applied Earth Observation and Geoinformation
Pub Date : 2023-09-01 DOI: 10.1016/j.jag.2023.103473
Tengping Jiang, Shan Liu, Qinyu Zhang, Xin Xu, Jian Sun, Yongjun Wang
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引用次数: 0
Deep exploration of street view features for identifying urban vitality: A case study of Qingdao city 城市活力识别的街景特征深度探索——以青岛市为例
IF 7.5 1区 地球科学 Q1 Earth and Planetary Sciences
International Journal of Applied Earth Observation and Geoinformation
Pub Date : 2023-09-01 DOI: 10.1016/j.jag.2023.103476
Zepeng Ma
{"title":"Deep exploration of street view features for identifying urban vitality: A case study of Qingdao city","authors":"Zepeng Ma","doi":"10.1016/j.jag.2023.103476","DOIUrl":"https://doi.org/10.1016/j.jag.2023.103476","url":null,"abstract":"","PeriodicalId":50341,"journal":{"name":"International Journal of Applied Earth Observation and Geoinformation","volume":"123 1","pages":"103476"},"PeriodicalIF":7.5,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"54752965","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
6Ds-HLM: Hierarchical models of road traffic crash influencing factor analysis considering the urban built environment of intersection visibility 6Ds-HLM:考虑城市建成环境交叉口能见度的道路交通碰撞影响因素分析层次模型
IF 7.5 1区 地球科学 Q1 Earth and Planetary Sciences
International Journal of Applied Earth Observation and Geoinformation
Pub Date : 2023-09-01 DOI: 10.1016/j.jag.2023.103472
Xinyu Qu, Xiongwu Xiao, Xinyan Zhu, Huayi Wu, J. Gong, D. Li
{"title":"6Ds-HLM: Hierarchical models of road traffic crash influencing factor analysis considering the urban built environment of intersection visibility","authors":"Xinyu Qu, Xiongwu Xiao, Xinyan Zhu, Huayi Wu, J. Gong, D. Li","doi":"10.1016/j.jag.2023.103472","DOIUrl":"https://doi.org/10.1016/j.jag.2023.103472","url":null,"abstract":"","PeriodicalId":50341,"journal":{"name":"International Journal of Applied Earth Observation and Geoinformation","volume":"123 1","pages":"103472"},"PeriodicalIF":7.5,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"54752845","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Corrigendum to "Discussion of "Comparison of bias-corrected multisatellite precipitation products by deep learning framework"" [Int. J. Appl. Earth Observ. Geoinf. 120 (2023) 103357] “讨论“通过深度学习框架比较偏差校正的多卫星降水产品”的勘误表[Int.J.Appl.Earth Observ.Geoinf.120（2023）103357]
IF 7.5 1区 地球科学 Q1 Earth and Planetary Sciences
International Journal of Applied Earth Observation and Geoinformation
Pub Date : 2023-07-01 DOI: 10.1016/j.jag.2023.103413
B. Mohammadi
{"title":"Corrigendum to \"Discussion of \"Comparison of bias-corrected multisatellite precipitation products by deep learning framework\"\" [Int. J. Appl. Earth Observ. Geoinf. 120 (2023) 103357]","authors":"B. Mohammadi","doi":"10.1016/j.jag.2023.103413","DOIUrl":"https://doi.org/10.1016/j.jag.2023.103413","url":null,"abstract":"","PeriodicalId":50341,"journal":{"name":"International Journal of Applied Earth Observation and Geoinformation","volume":"123 1","pages":"103413"},"PeriodicalIF":7.5,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"54752418","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A context-scale-aware detector and a new benchmark for remote sensing small weak object detection in unmanned aerial vehicle images 一种上下文尺度感知检测器和一种新的无人机图像遥感弱小目标检测基准
IF 7.5 1区 地球科学 Q1 Earth and Planetary Sciences
International Journal of Applied Earth Observation and Geoinformation
Pub Date : 2022-08-01 DOI: 10.1016/j.jag.2022.102966
Wei Han, Jun Yu Li, Shengte Wang, Yi Wang, Jining Yan, R. Fan, Xiaohan Zhang, Lizhe Wang
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引用次数: 11
Cross-Modal feature description for remote sensing image matching 遥感图像匹配的跨模态特征描述
IF 7.5 1区 地球科学 Q1 Earth and Planetary Sciences
International Journal of Applied Earth Observation and Geoinformation
Pub Date : 2022-08-01 DOI: 10.1016/j.jag.2022.102964
Liangzhi Li, Ming Liu, Lingfei Ma, L. Han
{"title":"Cross-Modal feature description for remote sensing image matching","authors":"Liangzhi Li, Ming Liu, Lingfei Ma, L. Han","doi":"10.1016/j.jag.2022.102964","DOIUrl":"https://doi.org/10.1016/j.jag.2022.102964","url":null,"abstract":"","PeriodicalId":50341,"journal":{"name":"International Journal of Applied Earth Observation and Geoinformation","volume":" ","pages":""},"PeriodicalIF":7.5,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47798099","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
Modeling urban expansion by integrating a convolutional neural network and a recurrent neural network 利用卷积神经网络和递归神经网络对城市扩张进行建模
IF 7.5 1区 地球科学 Q1 Earth and Planetary Sciences
International Journal of Applied Earth Observation and Geoinformation
Pub Date : 2022-08-01 DOI: 10.1016/j.jag.2022.102977
Xinhao Pan, Zhifeng Liu, Chunyang He, Qingxu Huang
{"title":"Modeling urban expansion by integrating a convolutional neural network and a recurrent neural network","authors":"Xinhao Pan, Zhifeng Liu, Chunyang He, Qingxu Huang","doi":"10.1016/j.jag.2022.102977","DOIUrl":"https://doi.org/10.1016/j.jag.2022.102977","url":null,"abstract":"","PeriodicalId":50341,"journal":{"name":"International Journal of Applied Earth Observation and Geoinformation","volume":"1 1","pages":""},"PeriodicalIF":7.5,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41468652","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Radiometric calibration of a large-array commodity CMOS multispectral camera for UAV-borne remote sensing 用于无人机遥感的大阵列商用CMOS多光谱相机的辐射定标
IF 7.5 1区 地球科学 Q1 Earth and Planetary Sciences
International Journal of Applied Earth Observation and Geoinformation
Pub Date : 2022-08-01 DOI: 10.1016/j.jag.2022.102968
Xiaoteng Zhou, Chunyu Liu, Yun Xue, Akram Akbar, Shoujun Jia, Yuan Zhou, Doudou Zeng
{"title":"Radiometric calibration of a large-array commodity CMOS multispectral camera for UAV-borne remote sensing","authors":"Xiaoteng Zhou, Chunyu Liu, Yun Xue, Akram Akbar, Shoujun Jia, Yuan Zhou, Doudou Zeng","doi":"10.1016/j.jag.2022.102968","DOIUrl":"https://doi.org/10.1016/j.jag.2022.102968","url":null,"abstract":"","PeriodicalId":50341,"journal":{"name":"International Journal of Applied Earth Observation and Geoinformation","volume":" ","pages":""},"PeriodicalIF":7.5,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49079162","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
Non-merohedral twinning: from minerals to proteins. 非合面孪晶：从矿物到蛋白质。
IF 2.6 1区 地球科学 Q1 Earth and Planetary Sciences
International Journal of Applied Earth Observation and Geoinformation
Pub Date : 2019-12-01 Epub Date: 2019-11-19 DOI: 10.1107/S2059798319010179
Madhumati Sevvana, Michael Ruf, Isabel Usón, George M Sheldrick, Regine Herbst-Irmer

In contrast to twinning by merohedry, the reciprocal lattices of the different domains of non-merohedral twins do not overlap exactly. This leads to three kinds of reflections: reflections with no overlap, reflections with an exact overlap and reflections with a partial overlap of a reflection from a second domain. This complicates the unit-cell determination, indexing, data integration and scaling of X-ray diffraction data. However, with hindsight it is possible to detwin the data because there are reflections that are not affected by the twinning. In this article, the successful solution and refinement of one mineral, one organometallic and two protein non-merohedral twins using a common strategy are described. The unit-cell constants and the orientation matrices were determined by the program CELL_NOW. The data were then integrated with SAINT. TWINABS was used for scaling, empirical absorption corrections and the generation of two different data files, one with detwinned data for structure solution and refinement and a second one for (usually more accurate) structure refinement against total integrated intensities. The structures were solved by experimental phasing using SHELXT for the first two structures and SHELXC/D/E for the two protein structures; all models were refined with SHELXL.

与并合孪晶不同的是，非立体孪晶的不同晶域的倒易点阵并不完全重叠。这导致了三种反射：无重叠反射、完全重叠反射和部分重叠来自第二畴的反射。这使得 X 射线衍射数据的单元尺寸确定、索引、数据整合和缩放变得复杂。不过，事后看来，由于有些反射不受孪晶的影响，因此可以对数据进行分离。本文介绍了使用一种通用策略成功求解和提炼一种矿物、一种有机金属和两种蛋白质非正交孪晶的过程。单元常量和取向矩阵由 CELL_NOW 程序确定。然后用 SAINT 对数据进行整合。TWINABS 用于缩放、经验吸收校正和生成两个不同的数据文件，一个是用于结构求解和细化的去翅数据文件，另一个是用于（通常更精确的）根据总集成强度进行结构细化的数据文件。对前两个结构使用 SHELXT 进行实验相位求解，对两个蛋白质结构使用 SHELXC/D/E 进行实验相位求解；所有模型均使用 SHELXL 进行细化。
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引用次数: 0
Corrigendum to “Comparative analysis of different uni- and multi-variate methods for estimation of vegetation water content using hyper-spectral measurements” [Int. J. Appl. Earth Observ. Geoinform. 26 (2014) 1–11] “利用高光谱测量估算植被含水量的不同单变量和多变量方法的比较分析”的勘误表[同上]。j:。地球Observ。地理信息，26 (2014):1-11
IF 7.5 1区 地球科学 Q1 Earth and Planetary Sciences
International Journal of Applied Earth Observation and Geoinformation
Pub Date : 2014-05-01 DOI: 10.1016/J.JAG.2013.12.003
M. Mirzaie, R. Darvishzadeh, A. Shakiba, A. Matkan, C. Atzberger, A. Skidmore
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引用次数: 1
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