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PFG-Journal of Photogrammetry Remote Sensing and Geoinformation Science最新文献

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Generating Virtual Training Labels for Crop Classification from Fused Sentinel-1 and Sentinel-2 Time Series 基于融合Sentinel-1和Sentinel-2时间序列的作物分类虚拟训练标签生成
4区 地球科学
PFG-Journal of Photogrammetry Remote Sensing and Geoinformation Science Pub Date : 2023-09-26 DOI: 10.1007/s41064-023-00256-w
Maryam Teimouri, Mehdi Mokhtarzade, Nicolas Baghdadi, Christian Heipke
{"title":"Generating Virtual Training Labels for Crop Classification from Fused Sentinel-1 and Sentinel-2 Time Series","authors":"Maryam Teimouri, Mehdi Mokhtarzade, Nicolas Baghdadi, Christian Heipke","doi":"10.1007/s41064-023-00256-w","DOIUrl":"https://doi.org/10.1007/s41064-023-00256-w","url":null,"abstract":"Abstract Convolutional neural networks (CNNs) have shown results superior to most traditional image understanding approaches in many fields, incl. crop classification from satellite time series images. However, CNNs require a large number of training samples to properly train the network. The process of collecting and labeling such samples using traditional methods can be both, time-consuming and costly. To address this issue and improve classification accuracy, generating virtual training labels (VTL) from existing ones is a promising solution. To this end, this study proposes a novel method for generating VTL based on sub-dividing the training samples of each crop using self-organizing maps (SOM), and then assigning labels to a set of unlabeled pixels based on the distance to these sub-classes. We apply the new method to crop classification from Sentinel images. A three-dimensional (3D) CNN is utilized for extracting features from the fusion of optical and radar time series. The results of the evaluation show that the proposed method is effective in generating VTL, as demonstrated by the achieved overall accuracy (OA) of 95.3% and kappa coefficient (KC) of 94.5%, compared to 91.3% and 89.9% for a solution without VTL. The results suggest that the proposed method has the potential to enhance the classification accuracy of crops using VTL.","PeriodicalId":56035,"journal":{"name":"PFG-Journal of Photogrammetry Remote Sensing and Geoinformation Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134960018","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
Assessing the Physical and Chemical Characteristics of Marine Mucilage Utilizing In-Situ and Remote Sensing Data (Sentinel-1, -2, -3) 利用原位和遥感数据评估海洋黏液的理化特性(Sentinel-1， -2， -3)
4区 地球科学
PFG-Journal of Photogrammetry Remote Sensing and Geoinformation Science Pub Date : 2023-09-19 DOI: 10.1007/s41064-023-00254-y
Umut Gunes Sefercik, Ismail Colkesen, Taskin Kavzoglu, Nizamettin Ozdogan, Muhammed Yusuf Ozturk
{"title":"Assessing the Physical and Chemical Characteristics of Marine Mucilage Utilizing In-Situ and Remote Sensing Data (Sentinel-1, -2, -3)","authors":"Umut Gunes Sefercik, Ismail Colkesen, Taskin Kavzoglu, Nizamettin Ozdogan, Muhammed Yusuf Ozturk","doi":"10.1007/s41064-023-00254-y","DOIUrl":"https://doi.org/10.1007/s41064-023-00254-y","url":null,"abstract":"","PeriodicalId":56035,"journal":{"name":"PFG-Journal of Photogrammetry Remote Sensing and Geoinformation Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135060842","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
Comparative Analysis of Multispectral and Hyperspectral Imagery for Mapping Sugarcane Varieties 多光谱与高光谱影像在甘蔗品种定位中的比较分析
IF 4.1 4区 地球科学
PFG-Journal of Photogrammetry Remote Sensing and Geoinformation Science Pub Date : 2023-09-06 DOI: 10.1007/s41064-023-00255-x
A. Sedighi, S. Hamzeh, M. K. Firozjaei, Hamid Valipoori Goodarzi, A. Naseri
{"title":"Comparative Analysis of Multispectral and Hyperspectral Imagery for Mapping Sugarcane Varieties","authors":"A. Sedighi, S. Hamzeh, M. K. Firozjaei, Hamid Valipoori Goodarzi, A. Naseri","doi":"10.1007/s41064-023-00255-x","DOIUrl":"https://doi.org/10.1007/s41064-023-00255-x","url":null,"abstract":"","PeriodicalId":56035,"journal":{"name":"PFG-Journal of Photogrammetry Remote Sensing and Geoinformation Science","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2023-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82060067","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
Guiding Deep Learning with Expert Knowledge for Dense Stereo Matching 用专家知识指导深度学习进行密集立体匹配
IF 4.1 4区 地球科学
PFG-Journal of Photogrammetry Remote Sensing and Geoinformation Science Pub Date : 2023-07-28 DOI: 10.1007/s41064-023-00252-0
Waseem Iqbal, J. Paffenholz, M. Mehltretter
{"title":"Guiding Deep Learning with Expert Knowledge for Dense Stereo Matching","authors":"Waseem Iqbal, J. Paffenholz, M. Mehltretter","doi":"10.1007/s41064-023-00252-0","DOIUrl":"https://doi.org/10.1007/s41064-023-00252-0","url":null,"abstract":"","PeriodicalId":56035,"journal":{"name":"PFG-Journal of Photogrammetry Remote Sensing and Geoinformation Science","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2023-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87870794","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: 1
Crowd-aware Thresholded Loss for Object Detection in Wide Area Motion Imagery 广域运动图像中人群感知阈值损失的目标检测
IF 4.1 4区 地球科学
PFG-Journal of Photogrammetry Remote Sensing and Geoinformation Science Pub Date : 2023-07-24 DOI: 10.1007/s41064-023-00253-z
P. U. Hatipoglu, C. Iyigun, Sinan Kalkan
{"title":"Crowd-aware Thresholded Loss for Object Detection in Wide Area Motion Imagery","authors":"P. U. Hatipoglu, C. Iyigun, Sinan Kalkan","doi":"10.1007/s41064-023-00253-z","DOIUrl":"https://doi.org/10.1007/s41064-023-00253-z","url":null,"abstract":"","PeriodicalId":56035,"journal":{"name":"PFG-Journal of Photogrammetry Remote Sensing and Geoinformation Science","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2023-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80218625","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
Spatial Downscaling of Snow Water Equivalent Using Machine Learning Methods Over the Zayandehroud River Basin, Iran 伊朗zayandehoud河流域雪水当量的机器学习空间降尺度研究
IF 4.1 4区 地球科学
PFG-Journal of Photogrammetry Remote Sensing and Geoinformation Science Pub Date : 2023-07-21 DOI: 10.1007/s41064-023-00249-9
M. Moradizadeh, Mohammadali Alijanian, R. Moeini
{"title":"Spatial Downscaling of Snow Water Equivalent Using Machine Learning Methods Over the Zayandehroud River Basin, Iran","authors":"M. Moradizadeh, Mohammadali Alijanian, R. Moeini","doi":"10.1007/s41064-023-00249-9","DOIUrl":"https://doi.org/10.1007/s41064-023-00249-9","url":null,"abstract":"","PeriodicalId":56035,"journal":{"name":"PFG-Journal of Photogrammetry Remote Sensing and Geoinformation Science","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2023-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85210321","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
Evaluation of InSAR Tropospheric Correction Methods over North-West Iran 伊朗西北部InSAR对流层校正方法的评价
IF 4.1 4区 地球科学
PFG-Journal of Photogrammetry Remote Sensing and Geoinformation Science Pub Date : 2023-07-19 DOI: 10.1007/s41064-023-00250-2
M. Kavehei, M. Yazdi, M. Dehghani
{"title":"Evaluation of InSAR Tropospheric Correction Methods over North-West Iran","authors":"M. Kavehei, M. Yazdi, M. Dehghani","doi":"10.1007/s41064-023-00250-2","DOIUrl":"https://doi.org/10.1007/s41064-023-00250-2","url":null,"abstract":"","PeriodicalId":56035,"journal":{"name":"PFG-Journal of Photogrammetry Remote Sensing and Geoinformation Science","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2023-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83082714","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 Metaheuristic Optimization-Based Solution to MTF-GLP-Based Pansharpening 基于mtf - glp的泛锐化的元启发式优化解决方案
IF 4.1 4区 地球科学
PFG-Journal of Photogrammetry Remote Sensing and Geoinformation Science Pub Date : 2023-06-16 DOI: 10.1007/s41064-023-00248-w
Cigdem Serifoglu Yilmaz, Oguz Gungor
{"title":"A Metaheuristic Optimization-Based Solution to MTF-GLP-Based Pansharpening","authors":"Cigdem Serifoglu Yilmaz, Oguz Gungor","doi":"10.1007/s41064-023-00248-w","DOIUrl":"https://doi.org/10.1007/s41064-023-00248-w","url":null,"abstract":"","PeriodicalId":56035,"journal":{"name":"PFG-Journal of Photogrammetry Remote Sensing and Geoinformation Science","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2023-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90493541","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 of Drone Regulations on Drone Use in Geospatial Applications and Research: Focus on Visual Range Conditions, Geofencing and Privacy Considerations 无人机法规对无人机在地理空间应用和研究中的影响:关注视距条件、地理围栏和隐私考虑
IF 4.1 4区 地球科学
PFG-Journal of Photogrammetry Remote Sensing and Geoinformation Science Pub Date : 2023-06-15 DOI: 10.1007/s41064-023-00246-y
A. Alamouri, A. Lampert, M. Gerke
{"title":"Impact of Drone Regulations on Drone Use in Geospatial Applications and Research: Focus on Visual Range Conditions, Geofencing and Privacy Considerations","authors":"A. Alamouri, A. Lampert, M. Gerke","doi":"10.1007/s41064-023-00246-y","DOIUrl":"https://doi.org/10.1007/s41064-023-00246-y","url":null,"abstract":"","PeriodicalId":56035,"journal":{"name":"PFG-Journal of Photogrammetry Remote Sensing and Geoinformation Science","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2023-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76875138","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: 1
Comparison of an Optimised Multiresolution Segmentation Approach with Deep Neural Networks for Delineating Agricultural Fields from Sentinel-2 Images 基于深度神经网络的优化多分辨率分割方法在Sentinel-2图像中划分农田的比较
IF 4.1 4区 地球科学
PFG-Journal of Photogrammetry Remote Sensing and Geoinformation Science Pub Date : 2023-06-07 DOI: 10.1007/s41064-023-00247-x
G. Tetteh, M. Schwieder, S. Erasmi, Christopher Conrad, A. Gocht
{"title":"Comparison of an Optimised Multiresolution Segmentation Approach with Deep Neural Networks for Delineating Agricultural Fields from Sentinel-2 Images","authors":"G. Tetteh, M. Schwieder, S. Erasmi, Christopher Conrad, A. Gocht","doi":"10.1007/s41064-023-00247-x","DOIUrl":"https://doi.org/10.1007/s41064-023-00247-x","url":null,"abstract":"","PeriodicalId":56035,"journal":{"name":"PFG-Journal of Photogrammetry Remote Sensing and Geoinformation Science","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2023-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89965231","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: 1
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