首页 > 最新文献

Journal of Spatial Science最新文献

英文 中文
Analysis of vegetation influence on building shadow extraction in remote sensing imagery using deep convolutional neural networks 利用深度卷积神经网络分析植被对遥感图像中建筑物阴影提取的影响
IF 1.9 4区 地球科学 Q4 GEOGRAPHY, PHYSICAL Pub Date : 2024-09-03 DOI: 10.1080/14498596.2024.2394439
Shuangquan Ge, Zihou Xu, Shaohan Cao, Dejun Feng, Wang Junfan
To study the influence of vegetation on shadow extraction, an anti-interference DCNN was developed to extract shadows and vegetation from QuickBird images. The vegetation features, color and geomet...
为了研究植被对阴影提取的影响,我们开发了一种抗干扰 DCNN,用于从 QuickBird 图像中提取阴影和植被。植被特征、颜色和几何形状对阴影提取有重要影响。
{"title":"Analysis of vegetation influence on building shadow extraction in remote sensing imagery using deep convolutional neural networks","authors":"Shuangquan Ge, Zihou Xu, Shaohan Cao, Dejun Feng, Wang Junfan","doi":"10.1080/14498596.2024.2394439","DOIUrl":"https://doi.org/10.1080/14498596.2024.2394439","url":null,"abstract":"To study the influence of vegetation on shadow extraction, an anti-interference DCNN was developed to extract shadows and vegetation from QuickBird images. The vegetation features, color and geomet...","PeriodicalId":50045,"journal":{"name":"Journal of Spatial Science","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142207071","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}
引用次数: 0
A novel approach to coral species classification using deep learning and unsupervised feature extraction 利用深度学习和无监督特征提取进行珊瑚物种分类的新方法
IF 1.9 4区 地球科学 Q4 GEOGRAPHY, PHYSICAL Pub Date : 2024-08-14 DOI: 10.1080/14498596.2024.2383881
R. Jannathul Firdous, S. Sabena
This study presents a novel methodology to enhance coral species classification in underwater images by integrating Tri Convolutional Deep Autoencoders (TRI-CDAE) and Sparse Deep Autoencoders (SPDA...
本研究提出了一种新颖的方法,通过整合三卷积深度自动编码器(TRI-CDAE)和稀疏深度自动编码器(SPDA...
{"title":"A novel approach to coral species classification using deep learning and unsupervised feature extraction","authors":"R. Jannathul Firdous, S. Sabena","doi":"10.1080/14498596.2024.2383881","DOIUrl":"https://doi.org/10.1080/14498596.2024.2383881","url":null,"abstract":"This study presents a novel methodology to enhance coral species classification in underwater images by integrating Tri Convolutional Deep Autoencoders (TRI-CDAE) and Sparse Deep Autoencoders (SPDA...","PeriodicalId":50045,"journal":{"name":"Journal of Spatial Science","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142207112","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}
引用次数: 0
Land cover classification in high-resolution remote sensing: using Swin Transformer deep learning with texture features 高分辨率遥感中的土地覆被分类:利用纹理特征进行 Swin Transformer 深度学习
IF 1.9 4区 地球科学 Q4 GEOGRAPHY, PHYSICAL Pub Date : 2024-08-07 DOI: 10.1080/14498596.2024.2386317
Yongle Zhang, Min Huang, Yanxi Chen, Xingzhu Xiao, Hao Li
The enhancement of spatial resolution has improved the spatial information conveyed by remote sensing images. Nevertheless, the impact of spectral-texture combined features on classification accura...
空间分辨率的提高改善了遥感图像传递的空间信息。然而,光谱-纹理组合特征对分类准确性的影响仍有待进一步研究。
{"title":"Land cover classification in high-resolution remote sensing: using Swin Transformer deep learning with texture features","authors":"Yongle Zhang, Min Huang, Yanxi Chen, Xingzhu Xiao, Hao Li","doi":"10.1080/14498596.2024.2386317","DOIUrl":"https://doi.org/10.1080/14498596.2024.2386317","url":null,"abstract":"The enhancement of spatial resolution has improved the spatial information conveyed by remote sensing images. Nevertheless, the impact of spectral-texture combined features on classification accura...","PeriodicalId":50045,"journal":{"name":"Journal of Spatial Science","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141932586","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}
引用次数: 0
A change detection algorithm for the SAR images based on DWT and DE optimization 基于 DWT 和 DE 优化的合成孔径雷达图像变化检测算法
IF 1.9 4区 地球科学 Q4 GEOGRAPHY, PHYSICAL Pub Date : 2024-08-01 DOI: 10.1080/14498596.2024.2384636
Bhavana N. Sivadas, Jeshma Ullas, Sourabh Paul
In this paper, a novel change detection algorithm is proposed for the remote sensing Synthetic Aperture Radar (SAR) images. Change detection in SAR images is one of the critical tasks in the field ...
本文针对遥感合成孔径雷达(SAR)图像提出了一种新型变化检测算法。合成孔径雷达图像中的变化检测是该领域的关键任务之一。
{"title":"A change detection algorithm for the SAR images based on DWT and DE optimization","authors":"Bhavana N. Sivadas, Jeshma Ullas, Sourabh Paul","doi":"10.1080/14498596.2024.2384636","DOIUrl":"https://doi.org/10.1080/14498596.2024.2384636","url":null,"abstract":"In this paper, a novel change detection algorithm is proposed for the remote sensing Synthetic Aperture Radar (SAR) images. Change detection in SAR images is one of the critical tasks in the field ...","PeriodicalId":50045,"journal":{"name":"Journal of Spatial Science","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141932588","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}
引用次数: 0
Predicting land use and land cover change dynamics in the eThekwini Municipality: a machine learning approach with Landsat imagery 预测 eThekwini 市的土地利用和土地覆被变化动态:利用大地遥感卫星图像的机器学习方法
IF 1.9 4区 地球科学 Q4 GEOGRAPHY, PHYSICAL Pub Date : 2024-07-18 DOI: 10.1080/14498596.2024.2378362
Mthokozisi Ndumiso Mzuzuwentokozo Buthelezi, Romano Trent Lottering, Kabir Yunus Peerbhay, Onisimo Mutanga
Monitoring and providing accurate land use and land cover (LULC) change information is vital for sustainable environmental planning. This study used Landsat imagery from 2002 to 2022 to create upda...
监测并提供准确的土地利用和土地覆被 (LULC) 变化信息对于可持续环境规划至关重要。这项研究利用 2002 年至 2022 年的大地遥感卫星(Landsat)图像来创建最新的土地利用和土地覆被信息。
{"title":"Predicting land use and land cover change dynamics in the eThekwini Municipality: a machine learning approach with Landsat imagery","authors":"Mthokozisi Ndumiso Mzuzuwentokozo Buthelezi, Romano Trent Lottering, Kabir Yunus Peerbhay, Onisimo Mutanga","doi":"10.1080/14498596.2024.2378362","DOIUrl":"https://doi.org/10.1080/14498596.2024.2378362","url":null,"abstract":"Monitoring and providing accurate land use and land cover (LULC) change information is vital for sustainable environmental planning. This study used Landsat imagery from 2002 to 2022 to create upda...","PeriodicalId":50045,"journal":{"name":"Journal of Spatial Science","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141745707","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}
引用次数: 0
Stability monitoring and analysis of submerged landslides in the Three Gorges Reservoir area based on time-series InSAR data and GNSS data 基于时序 InSAR 数据和 GNSS 数据的三峡库区淹没式滑坡稳定性监测与分析
IF 1.9 4区 地球科学 Q4 GEOGRAPHY, PHYSICAL Pub Date : 2024-07-11 DOI: 10.1080/14498596.2024.2377562
Yueze Zheng, Xue Chen, Hailong Zhang, Yang Wu, Shiping Hou, Jiannan Wang
Precise landslide monitoring is crucial for understanding and mitigating their impact. The Three Gorges Dam has exacerbated landslides due to steep slopes and rising water levels. This study used A...
精确的滑坡监测对于了解和减轻其影响至关重要。由于山坡陡峭、水位上升,三峡大坝加剧了滑坡。本研究利用 A...
{"title":"Stability monitoring and analysis of submerged landslides in the Three Gorges Reservoir area based on time-series InSAR data and GNSS data","authors":"Yueze Zheng, Xue Chen, Hailong Zhang, Yang Wu, Shiping Hou, Jiannan Wang","doi":"10.1080/14498596.2024.2377562","DOIUrl":"https://doi.org/10.1080/14498596.2024.2377562","url":null,"abstract":"Precise landslide monitoring is crucial for understanding and mitigating their impact. The Three Gorges Dam has exacerbated landslides due to steep slopes and rising water levels. This study used A...","PeriodicalId":50045,"journal":{"name":"Journal of Spatial Science","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141611962","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}
引用次数: 0
Elaborating and performing optimization approaches for web-based 3D spatial analysis of 3D city models 为基于网络的三维城市模型三维空间分析制定和执行优化方法
IF 1 4区 地球科学 Q4 GEOGRAPHY, PHYSICAL Pub Date : 2024-07-11 DOI: 10.1080/14498596.2024.2377564
Alper Tunga Akın, Ziya Usta, Ç. Cömert
{"title":"Elaborating and performing optimization approaches for web-based 3D spatial analysis of 3D city models","authors":"Alper Tunga Akın, Ziya Usta, Ç. Cömert","doi":"10.1080/14498596.2024.2377564","DOIUrl":"https://doi.org/10.1080/14498596.2024.2377564","url":null,"abstract":"","PeriodicalId":50045,"journal":{"name":"Journal of Spatial Science","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2024-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141657011","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}
引用次数: 0
Impact assessment of land-use alteration on land surface temperature in Kabul using machine learning algorithm 利用机器学习算法评估土地利用变化对喀布尔地表温度的影响
IF 1.9 4区 地球科学 Q4 GEOGRAPHY, PHYSICAL Pub Date : 2024-06-27 DOI: 10.1080/14498596.2024.2364283
Sajid Ullah, Mohsin Abbas, Xiuchen Qiao
This research evaluates the impact of LULC changes on LST of Kabul City, Afghanistan using Landsat data and Machine Learning Algorithm. The Cellular Automata Markov (CA-Markov) and Artificial Neura...
本研究利用大地遥感卫星数据和机器学习算法评估了土地利用、土地利用的变化对阿富汗喀布尔市土地ST的影响。蜂窝自动机马尔科夫(CA-Markov)和人工神经网络(Artificial Neura...
{"title":"Impact assessment of land-use alteration on land surface temperature in Kabul using machine learning algorithm","authors":"Sajid Ullah, Mohsin Abbas, Xiuchen Qiao","doi":"10.1080/14498596.2024.2364283","DOIUrl":"https://doi.org/10.1080/14498596.2024.2364283","url":null,"abstract":"This research evaluates the impact of LULC changes on LST of Kabul City, Afghanistan using Landsat data and Machine Learning Algorithm. The Cellular Automata Markov (CA-Markov) and Artificial Neura...","PeriodicalId":50045,"journal":{"name":"Journal of Spatial Science","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141528849","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}
引用次数: 0
Employing machine learning techniques for estimating the differential code biases of GPS satellites 利用机器学习技术估算 GPS 卫星的差分代码偏差
IF 1.9 4区 地球科学 Q4 GEOGRAPHY, PHYSICAL Pub Date : 2024-06-27 DOI: 10.1080/14498596.2024.2371831
T. Hassan, M. El-Tokhey
In this study, the capabilities of Machine Learning (ML) are exploited to predict the Differential Code Biases (DCBs) of Global Positioning System (GPS) satellites from the broadcast Total Group De...
在这项研究中,利用机器学习(ML)的功能,从广播的总群组偏差(Total Group De)中预测全球定位系统(GPS)卫星的差分码偏差(DCB)。
{"title":"Employing machine learning techniques for estimating the differential code biases of GPS satellites","authors":"T. Hassan, M. El-Tokhey","doi":"10.1080/14498596.2024.2371831","DOIUrl":"https://doi.org/10.1080/14498596.2024.2371831","url":null,"abstract":"In this study, the capabilities of Machine Learning (ML) are exploited to predict the Differential Code Biases (DCBs) of Global Positioning System (GPS) satellites from the broadcast Total Group De...","PeriodicalId":50045,"journal":{"name":"Journal of Spatial Science","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141720024","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}
引用次数: 0
An approach to improve smartphone-based PPP performance in constrained environments using Doppler observations 利用多普勒观测改善受限环境中基于智能手机的 PPP 性能的方法
IF 1.9 4区 地球科学 Q4 GEOGRAPHY, PHYSICAL Pub Date : 2024-06-25 DOI: 10.1080/14498596.2024.2365855
Xiaojian Xu, Changsheng Cai, Zhizhao Liu
The smartphone-based precise point positioning (PPP) technique is usually used in limited satellite visibility environments, resulting in discontinuities in carrier phase observations. This study p...
基于智能手机的精确点定位(PPP)技术通常在卫星能见度有限的环境中使用,从而导致载波相位观测的不连续性。本研究将对这一问题进行分析。
{"title":"An approach to improve smartphone-based PPP performance in constrained environments using Doppler observations","authors":"Xiaojian Xu, Changsheng Cai, Zhizhao Liu","doi":"10.1080/14498596.2024.2365855","DOIUrl":"https://doi.org/10.1080/14498596.2024.2365855","url":null,"abstract":"The smartphone-based precise point positioning (PPP) technique is usually used in limited satellite visibility environments, resulting in discontinuities in carrier phase observations. This study p...","PeriodicalId":50045,"journal":{"name":"Journal of Spatial Science","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141551441","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}
引用次数: 0
期刊
Journal of Spatial Science
全部 Acc. Chem. Res. ACS Applied Bio Materials ACS Appl. Electron. Mater. ACS Appl. Energy Mater. ACS Appl. Mater. Interfaces ACS Appl. Nano Mater. ACS Appl. Polym. Mater. ACS BIOMATER-SCI ENG ACS Catal. ACS Cent. Sci. ACS Chem. Biol. ACS Chemical Health & Safety ACS Chem. Neurosci. ACS Comb. Sci. ACS Earth Space Chem. ACS Energy Lett. ACS Infect. Dis. ACS Macro Lett. ACS Mater. Lett. ACS Med. Chem. Lett. ACS Nano ACS Omega ACS Photonics ACS Sens. ACS Sustainable Chem. Eng. ACS Synth. Biol. Anal. Chem. BIOCHEMISTRY-US Bioconjugate Chem. BIOMACROMOLECULES Chem. Res. Toxicol. Chem. Rev. Chem. Mater. CRYST GROWTH DES ENERG FUEL Environ. Sci. Technol. Environ. Sci. Technol. Lett. Eur. J. Inorg. Chem. IND ENG CHEM RES Inorg. Chem. J. Agric. Food. Chem. J. Chem. Eng. Data J. Chem. Educ. J. Chem. Inf. Model. J. Chem. Theory Comput. J. Med. Chem. J. Nat. Prod. J PROTEOME RES J. Am. Chem. Soc. LANGMUIR MACROMOLECULES Mol. Pharmaceutics Nano Lett. Org. Lett. ORG PROCESS RES DEV ORGANOMETALLICS J. Org. Chem. J. Phys. Chem. J. Phys. Chem. A J. Phys. Chem. B J. Phys. Chem. C J. Phys. Chem. Lett. Analyst Anal. Methods Biomater. Sci. Catal. Sci. Technol. Chem. Commun. Chem. Soc. Rev. CHEM EDUC RES PRACT CRYSTENGCOMM Dalton Trans. Energy Environ. Sci. ENVIRON SCI-NANO ENVIRON SCI-PROC IMP ENVIRON SCI-WAT RES Faraday Discuss. Food Funct. Green Chem. Inorg. Chem. Front. Integr. Biol. J. Anal. At. Spectrom. J. Mater. Chem. A J. Mater. Chem. B J. Mater. Chem. C Lab Chip Mater. Chem. Front. Mater. Horiz. MEDCHEMCOMM Metallomics Mol. Biosyst. Mol. Syst. Des. Eng. Nanoscale Nanoscale Horiz. Nat. Prod. Rep. New J. Chem. Org. Biomol. Chem. Org. Chem. Front. PHOTOCH PHOTOBIO SCI PCCP Polym. Chem.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1