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MLFA-Net: multi-level feature-aggregated network for semantic change detection in remote sensing images MLFA-Net:用于遥感图像语义变化检测的多级特征聚合网络
IF 5.1 1区 地球科学 Q1 GEOGRAPHY, PHYSICAL Pub Date : 2024-09-09 DOI: 10.1080/17538947.2024.2398070
Qing Ding, Zhenfeng Shao, Xiao Huang, Fengyan Wang, Mingchang Wang
The rapid advancement in Earth observation technologies has improved the acquisition of precise data on terrestrial changes. However, traditional binary change detection (BCD) fails to satisfy the ...
地球观测技术的飞速发展提高了获取陆地变化精确数据的能力。然而,传统的二进制变化检测(BCD)无法满足...
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引用次数: 0
An improved bridge reference network for 3-D SAR tomography based on regional growing strategy 基于区域增长策略的三维合成孔径雷达断层成像改进型桥梁参考网络
IF 5.1 1区 地球科学 Q1 GEOGRAPHY, PHYSICAL Pub Date : 2024-09-09 DOI: 10.1080/17538947.2024.2398072
Youjun Wang, Zhen Dong, Xiantao Wang, Anxi Yu, Yifei Ji, Xing Peng
The utilization of synthetic aperture radar tomography (TomoSAR) technology for the three-dimensional imaging of urban areas has garnered significant attention. In the case of multi-pass spaceborne...
利用合成孔径雷达层析成像(TomoSAR)技术对城市区域进行三维成像已引起广泛关注。在多通道机载雷达层析成像(TomoSAR)技术的应用中,城市区域的三维成像受到了极大关注。
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引用次数: 0
MAL-YOLO: a lightweight algorithm for target detection in side-scan sonar images based on multi-scale feature fusion and attention mechanism MAL-YOLO:基于多尺度特征融合和注意力机制的侧扫声纳图像目标检测轻量级算法
IF 5.1 1区 地球科学 Q1 GEOGRAPHY, PHYSICAL Pub Date : 2024-09-04 DOI: 10.1080/17538947.2024.2398050
Yu Cao, Xiaodong Cui, Mingyi Gan, Yaxue Wang, Fanlin Yang, Yi Huang
Side-scan sonar image target detection is of great significance in seabed resource exploration and other fields. However, affected by the complex underwater environment, side-scan sonar images have...
侧扫声纳图像目标探测在海底资源勘探等领域具有重要意义。然而,受复杂水下环境的影响,侧扫声纳图像在探测目标时存在一定的局限性。
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引用次数: 0
Assessing water use efficiency reactivity to meteorological, hydrological, and agricultural droughts on the Mongolian Plateau 评估蒙古高原用水效率对气象、水文和农业干旱的反应能力
IF 5.1 1区 地球科学 Q1 GEOGRAPHY, PHYSICAL Pub Date : 2024-09-04 DOI: 10.1080/17538947.2024.2398056
Li Mei, Siqin Tong, Shan Yin, Yuhai Bao, Yongfang Wang, Enliang Guo, Fei Li, Xiaojun Huang, Tuya Alateng, Dongwei Liu, Lumen Chao, Jinyuan Ren
Water use efficiency (WUE) is an important metric for assessing regional sustainability and the carbon-water balance of ecosystems. Drought is a significant stressor affecting the carbon-water cycl...
用水效率(WUE)是评估区域可持续性和生态系统碳-水平衡的一个重要指标。干旱是影响碳-水循环的重要压力源...
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引用次数: 0
PM2.5 estimation and its relationship with NO2 and SO2 in China from 2016 to 2020 2016-2020年中国PM2.5估算及其与二氧化氮和二氧化硫的关系
IF 5.1 1区 地球科学 Q1 GEOGRAPHY, PHYSICAL Pub Date : 2024-09-02 DOI: 10.1080/17538947.2024.2398055
Huangyuan Tan, Yumin Chen, Feiyue Mao, John P. Wilson, Tengfei Zhang, Xiana Cui, Zhanghui Li
The distribution of surface particulate matter (PM2.5) exhibits significant spatiotemporal patterns, especially with a spatial clustering effect. Therefore, resolving spatial characteristics is ess...
地表颗粒物(PM2.5)的分布呈现出明显的时空模式,尤其具有空间集群效应。因此,解析空间特征至关重要。
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引用次数: 0
Integrating trajectory data and demographic characteristics: a trajectory semantic model for predicting travel flow and conducting interaction analysis 整合轨迹数据和人口特征:用于预测旅行流量和进行互动分析的轨迹语义模型
IF 5.1 1区 地球科学 Q1 GEOGRAPHY, PHYSICAL Pub Date : 2024-08-30 DOI: 10.1080/17538947.2024.2392842
Changjian Liu, Shuhui Gong, Hui Su, Jianwei Chen, Honglei Guo, Jifeng He, Changfeng Jing, Yu Liu
With urbanisation and population growth, understanding spatial interactions in cities is increasingly vital for urban management. In recent decades, spatial interactions could be predicted accurate...
随着城市化和人口增长,了解城市中的空间相互作用对城市管理越来越重要。近几十年来,空间相互作用可以被准确地预测出来......
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引用次数: 0
A full-attention network with an open dataset for large-scale building semantic segmentation along long-span high-speed rail lines 用于大跨度高铁沿线大规模建筑物语义分割的全注意力网络与开放数据集
IF 5.1 1区 地球科学 Q1 GEOGRAPHY, PHYSICAL Pub Date : 2024-08-30 DOI: 10.1080/17538947.2024.2393265
Wenfan Qiao, Li Shen, Jicheng Wang, Zhilin Li
Buildings adjacent to high-speed rail (HSR) tracks are one of the key concerns in the environmental hazard monitoring of HSR lines. The rapid and accurate extraction of building information for rea...
高铁(HSR)轨道附近的建筑物是高铁线路环境危害监测的主要关注点之一。快速、准确地提取建筑物信息,是监测高铁线路环境危害的关键。
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引用次数: 0
A detection method for multi-type earth's surface anomalies based on multi-dimensional feature space 一种基于多维特征空间的多类型地表异常检测方法
IF 5.1 1区 地球科学 Q1 GEOGRAPHY, PHYSICAL Pub Date : 2024-08-30 DOI: 10.1080/17538947.2024.2398054
Haishuo Wei, Kun Jia, Qiao Wang, Biao Cao, Jianbo Qi, Wenzhi Zhao, Kai Yan, Guoqiang Wang, Baolin Xue, Xing Yan
On-orbit processing is an important research direction in the real-time remote sensing detection of earth's surface anomalies (ESSA). However, existing methods cannot comprehensively utilize multi-...
在轨处理是地球表面异常实时遥感探测(ESSA)的一个重要研究方向。然而,现有方法无法综合利用多...
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引用次数: 0
Advances on the global human settlement layer by joint assessment of earth observation and population survey data 通过联合评估地球观测和人口调查数据,推进全球人类居住层的研究
IF 5.1 1区 地球科学 Q1 GEOGRAPHY, PHYSICAL Pub Date : 2024-08-30 DOI: 10.1080/17538947.2024.2390454
Martino Pesaresi, Marcello Schiavina, Panagiotis Politis, Sergio Freire, Katarzyna Krasnodębska, Johannes H. Uhl, Alessandra Carioli, Christina Corbane, Lewis Dijkstra, Pietro Florio, Hannah K. Friedrich, Jing Gao, Stefan Leyk, Linlin Lu, Luca Maffenini, Ines Mari-Rivero, Michele Melchiorri, Vasileios Syrris, Jamon Van Den Hoek, Thomas Kemper
The Global Human Settlement Layer (GHSL) project fosters an enhanced, public understanding of the human presence on Earth. A decade after its inception in the Digital Earth 2020 vision, GHSL is an ...
全球人类居住图层(GHSL)项目旨在加强公众对地球上人类存在的了解。在 "数字地球 2020 "愿景启动十年之后,全球人类居住图层是一个...
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引用次数: 0
Incorporating object counts into remote sensing image captioning 将物体计数纳入遥感图像标题中
IF 5.1 1区 地球科学 Q1 GEOGRAPHY, PHYSICAL Pub Date : 2024-08-22 DOI: 10.1080/17538947.2024.2392847
Zihao Ni, Zhaoyun Zong, Peng Ren
Existing methods for remote sensing image captioning tend to describe a remote sensing image using generic language that lacks specific information about object counts. To address this limitation, ...
现有的遥感图像标注方法往往使用通用语言描述遥感图像,缺乏有关物体数量的具体信息。为解决这一局限性,...
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引用次数: 0
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International Journal of Digital Earth
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