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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
Journal of Spatial Science Pub Date : 2024-09-03 DOI: 10.1080/14498596.2024.2394439
Shuangquan Ge, Zihou Xu, Shaohan Cao, Dejun Feng, Wang Junfan
{"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":"10 1","pages":""},"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
Journal of Spatial Science Pub Date : 2024-08-14 DOI: 10.1080/14498596.2024.2383881
R. Jannathul Firdous, S. Sabena
{"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":"10 1","pages":""},"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
Journal of Spatial Science Pub Date : 2024-08-07 DOI: 10.1080/14498596.2024.2386317
Yongle Zhang, Min Huang, Yanxi Chen, Xingzhu Xiao, Hao Li
{"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":"193 1","pages":""},"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
Journal of Spatial Science Pub Date : 2024-08-01 DOI: 10.1080/14498596.2024.2384636
Bhavana N. Sivadas, Jeshma Ullas, Sourabh Paul
{"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":"3 1","pages":""},"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
Journal of Spatial Science Pub Date : 2024-07-18 DOI: 10.1080/14498596.2024.2378362
Mthokozisi Ndumiso Mzuzuwentokozo Buthelezi, Romano Trent Lottering, Kabir Yunus Peerbhay, Onisimo Mutanga
{"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":"33 1","pages":""},"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
Journal of Spatial Science Pub Date : 2024-07-11 DOI: 10.1080/14498596.2024.2377562
Yueze Zheng, Xue Chen, Hailong Zhang, Yang Wu, Shiping Hou, Jiannan Wang
{"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":"15 1","pages":""},"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
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
Journal of Spatial Science Pub Date : 2024-06-27 DOI: 10.1080/14498596.2024.2364283
Sajid Ullah, Mohsin Abbas, Xiuchen Qiao
{"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":"19 1","pages":""},"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
Journal of Spatial Science Pub Date : 2024-06-27 DOI: 10.1080/14498596.2024.2371831
T. Hassan, M. El-Tokhey
{"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":"53 1","pages":""},"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
Journal of Spatial Science Pub Date : 2024-06-25 DOI: 10.1080/14498596.2024.2365855
Xiaojian Xu, Changsheng Cai, Zhizhao Liu
{"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":"15 1","pages":""},"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
Removing cross-track interferometric phase in the along-track interferometry method for sea surface current inversion 去除沿轨干涉测量法中的跨轨干涉测量相位以进行海面洋流反演
IF 1.9 4区 地球科学
Journal of Spatial Science Pub Date : 2024-06-24 DOI: 10.1080/14498596.2024.2368153
Kunchi Liu, Hongli Miao, Zhonghao Yang, Jiahui Zhang
{"title":"Removing cross-track interferometric phase in the along-track interferometry method for sea surface current inversion","authors":"Kunchi Liu, Hongli Miao, Zhonghao Yang, Jiahui Zhang","doi":"10.1080/14498596.2024.2368153","DOIUrl":"https://doi.org/10.1080/14498596.2024.2368153","url":null,"abstract":"This study quantitatively analyzes how cross-track phase interference affects sea surface current inversion accuracy in ATI. It then suggests a calculation method for this phase over the ocean, enh...","PeriodicalId":50045,"journal":{"name":"Journal of Spatial Science","volume":"175 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141573466","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
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