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Hyperspectral image classification using a residual enhanced feature fusion hypergraph neural network 使用残差增强特征融合超图神经网络进行高光谱图像分类
IF 2.3 4区 地球科学 Q3 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY Pub Date : 2024-03-05 DOI: 10.1080/2150704x.2024.2320177
Yanhong Yang, Danyang Li, Hongtao Wang, Yuan Feng, Lei Yan, Guodao Zhang
HyperGraph Neural Network (HGNN) has recently emerged as a promising approach for hyperspectral image classification (HSIC), reconciling state-of-the-art performance with powerful representation ca...
超图神经网络(HyperGraph Neural Network,HGNN)是最近出现的一种用于高光谱图像分类(HSIC)的有前途的方法,它兼具最先进的性能和强大的表示能力。
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引用次数: 0
Deriving high-accuracy lake water-level changes from multi-source satellite datasets 从多源卫星数据集推导高精度湖泊水位变化
IF 2.3 4区 地球科学 Q3 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY Pub Date : 2024-03-01 DOI: 10.1080/2150704x.2024.2323555
Nan Xu, Hao Xu, Lin Wang
Satellite data have exhibited a great potential to track lake water-level changes. By integrating multi-source satellite datasets (i.e., Ice, Cloud and land Elevation Satellite-2 (ICESat-2) lidar d...
卫星数据在追踪湖泊水位变化方面具有巨大潜力。通过整合多源卫星数据集(即冰、云和陆地高程卫星-2(ICESat-2)激光雷达数据集),可以对湖泊水位的变化进行跟踪。
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引用次数: 0
Landslide extraction using a novel empirical method and binary semantic segmentation U-NET framework using sentinel-2 imagery 利用新颖的经验方法和二元语义分割 U-NET 框架,利用哨兵-2 图像提取滑坡信息
IF 2.3 4区 地球科学 Q3 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY Pub Date : 2024-02-29 DOI: 10.1080/2150704x.2024.2320178
Meghanadh Devara, Vipin Kumar Maurya, Ramji Dwivedi
Artificial intelligence (AI) has achieved a remarkable place in solving complex problems in almost all disciplines. Based on the recent notable performances of machine learning and deep learning te...
人工智能(AI)在解决几乎所有学科的复杂问题方面都取得了令人瞩目的成就。基于机器学习和深度学习技术最近的显著表现,人工智能已成为解决复杂问题的重要工具。
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引用次数: 0
Reconstructing historical urban landscapes from KH-9 HEXAGON mapping camera system imagery: an example of Hangzhou City 从 KH-9 HEXAGON 测绘摄像系统图像重建历史城市景观:以杭州市为例
IF 2.3 4区 地球科学 Q3 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY Pub Date : 2024-02-26 DOI: 10.1080/2150704x.2024.2320176
Amir Reza Shahtahmassebi, Danni Huang, Jie Lu, Erling Li, Xiaoli Huang, Ling Jiang, Golnaz Shahtahmassebi, Nathan Moore, Peter M. Atkinson
Declassified images from the Keyhole (KH)-9 HEXAGON mapping camera system (MCS) offer fine-scale details of urban regions. However, these images have seldom been utilized in urban research due to c...
来自锁孔(KH)-9 HEXAGON 测绘摄像系统(MCS)的解密图像提供了城市地区的精细细节。然而,这些图像很少被用于城市研究,原因是...
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引用次数: 0
Quantifying trade-offs in satellite hardware configurations using a super-resolution framework with realistic image degradation 利用超分辨率框架量化卫星硬件配置中的权衡与现实图像降解
IF 2.3 4区 地球科学 Q3 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY Pub Date : 2024-02-26 DOI: 10.1080/2150704x.2024.2318756
Jack White, Alex Codoreanu, Ignacio Zuleta, Colm Lynch, Giovanni Marchisio, Kai Qin, Stephen M. Petrie, Alan R. Duffy
When designing and operating Earth observation satellites, trade-offs must often be made between different hardware components, operational considerations, etc… For example, considerations include ...
在设计和运行地球观测卫星时,往往必须在不同的硬件组件、运行考虑因素等之间做出权衡。
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引用次数: 0
Recognition of multi-season rice in a complex tropical agronomy zone using time-series SAR data: a case study of Hainan, China 利用时间序列合成孔径雷达数据识别复杂热带农业区的多季水稻:中国海南案例研究
IF 2.3 4区 地球科学 Q3 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY Pub Date : 2024-02-20 DOI: 10.1080/2150704x.2024.2313610
Lu Xu, Hong Zhang, Chao Wang, Chunling Sun, Fan Wu, Bo Zhang
Rice plays a significant role in regional food supply and international food trading, especially for Asian countries. However, accurate mapping of tropical rice cultivationis a challenging task due...
水稻在地区粮食供应和国际粮食贸易中发挥着重要作用,尤其是对亚洲国家而言。然而,精确绘制热带水稻种植图是一项具有挑战性的任务,因为...
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引用次数: 0
Using remote-sensing data to study the rapid growth of wind farms and their impact on bird habitat in Yellow Sea Wetland, China 利用遥感数据研究中国黄海湿地风电场的快速发展及其对鸟类栖息地的影响
IF 2.3 4区 地球科学 Q3 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY Pub Date : 2024-02-19 DOI: 10.1080/2150704x.2024.2318758
Yue Zheng, Junhong Wu, Natalia Sheviakina, Snizhana Zahorodnia, Tomchenko Olha, Kreta Dmytro, Oleksandr Trofymchuk
As an important migratory bird habitat along the East Asian-Australasian route, the coastal wetlands along the Yellow Sea have experienced significant human losses and threats due to the impact of ...
作为东亚-澳大利亚航线上重要的候鸟栖息地,黄海沿岸湿地由于受到气候变化的影响,遭受了巨大的人为损失和威胁。
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引用次数: 0
Land surface temperature prediction with dual satellites and BPNN: a comparative transfer function analysis 利用双卫星和 BPNN 预测陆地表面温度:传递函数比较分析
IF 2.3 4区 地球科学 Q3 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY Pub Date : 2024-02-19 DOI: 10.1080/2150704x.2024.2318757
Shivam Chauhan, Ajay Singh Jethoo, Umesh Kumar Das
Driven by global sustainability goals, understanding land surface temperature (LST) in urban thermal environments (UTE) is crucial. This study analyses remotely sensed LST data from Aqua and Terra ...
在全球可持续发展目标的推动下,了解城市热环境(UTE)中的地表温度(LST)至关重要。本研究分析了来自 Aqua 和 Terra 的遥感 LST 数据。
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引用次数: 0
Recognizing landslides in remote sensing images based on enhancement of information in digital elevation models 根据数字高程模型中的增强信息识别遥感图像中的山体滑坡
IF 2.3 4区 地球科学 Q3 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY Pub Date : 2024-02-11 DOI: 10.1080/2150704x.2024.2313611
Lu Jia, Xiaopeng Leng, Xingchen Wang, Manyuan Nie
To address the landslide recognition problem in remote sensing images, this paper designs a visual transformer network model based on DEM (digital elevation model) feature enhancement, which is exp...
为解决遥感图像中的滑坡识别问题,本文设计了一种基于 DEM(数字高程模型)特征增强的视觉转换器网络模型,并对其进行了验证。
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引用次数: 0
A hyperspectral image classification method based on feature enhancement and a hybrid deformable convolution network 基于特征增强和混合可变形卷积网络的高光谱图像分类方法
IF 2.3 4区 地球科学 Q3 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY Pub Date : 2024-02-09 DOI: 10.1080/2150704x.2024.2311782
Yunji Zhao, Zhihao Zhang, Wenming Bao, Xiaozhuo Xu, Zhifang Gao
In recent years, some hyperspectral image (HSI) classification methods based on deep models have shown excellent performance. Most deep models receive three-dimensional (3D) block structures as inp...
近年来,一些基于深度模型的高光谱图像(HSI)分类方法表现出了卓越的性能。大多数深度模型接收三维(3D)块结构作为输入数据,然后将这些数据进行分类。
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引用次数: 0
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Remote Sensing Letters
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