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Int. J. Appl. Earth Obs. Geoinformation最新文献

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The use of remote sensing tools for accurate charcoal kilns' inventory and distribution analysis: Comparative assessment and prospective 利用遥感工具进行准确的木炭窑库存和分布分析:比较评估和展望
Int. J. Appl. Earth Obs. Geoinformation Pub Date : 2021-12-01 DOI: 10.1016/j.jag.2021.102641
C. Oliveira, Stéphanie Aravecchia, C. Pradalier, Vincent Robin, S. Devin
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引用次数: 5
Airborne hyperspectral imaging of nitrogen deficiency on crop traits and yield of maize by machine learning and radiative transfer modeling 基于机器学习和辐射转移模型的缺氮对玉米作物性状和产量影响的航空高光谱成像
Int. J. Appl. Earth Obs. Geoinformation Pub Date : 2021-12-01 DOI: 10.1016/j.jag.2021.102617
Sheng Wang, K. Guan, Zhihui Wang, E. Ainsworth, T. Zheng, P. Townsend, Nanfeng Liu, E. Nafziger, M. Masters, Kaiyuan Li, Genghong Wu, Chongya Jiang
{"title":"Airborne hyperspectral imaging of nitrogen deficiency on crop traits and yield of maize by machine learning and radiative transfer modeling","authors":"Sheng Wang, K. Guan, Zhihui Wang, E. Ainsworth, T. Zheng, P. Townsend, Nanfeng Liu, E. Nafziger, M. Masters, Kaiyuan Li, Genghong Wu, Chongya Jiang","doi":"10.1016/j.jag.2021.102617","DOIUrl":"https://doi.org/10.1016/j.jag.2021.102617","url":null,"abstract":"","PeriodicalId":13664,"journal":{"name":"Int. J. Appl. Earth Obs. Geoinformation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88996720","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 24
UCL: Unsupervised Curriculum Learning for water body classification from remote sensing imagery UCL:基于遥感影像的水体分类的无监督课程学习
Int. J. Appl. Earth Obs. Geoinformation Pub Date : 2021-12-01 DOI: 10.1016/j.jag.2021.102568
N. Abid, M. Shahzad, M. I. Malik, Ulrich Schwanecke, A. Ulges, György Kovács, F. Shafait
{"title":"UCL: Unsupervised Curriculum Learning for water body classification from remote sensing imagery","authors":"N. Abid, M. Shahzad, M. I. Malik, Ulrich Schwanecke, A. Ulges, György Kovács, F. Shafait","doi":"10.1016/j.jag.2021.102568","DOIUrl":"https://doi.org/10.1016/j.jag.2021.102568","url":null,"abstract":"","PeriodicalId":13664,"journal":{"name":"Int. J. Appl. Earth Obs. Geoinformation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81957651","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 15
The naturalness index for the identification of natural areas on regional scale 区域尺度上自然区域识别的自然度指数
Int. J. Appl. Earth Obs. Geoinformation Pub Date : 2021-12-01 DOI: 10.1016/j.jag.2021.102622
Burak Ekim, Zeyu Dong, D. Rashkovetsky, Michael Schmitt
{"title":"The naturalness index for the identification of natural areas on regional scale","authors":"Burak Ekim, Zeyu Dong, D. Rashkovetsky, Michael Schmitt","doi":"10.1016/j.jag.2021.102622","DOIUrl":"https://doi.org/10.1016/j.jag.2021.102622","url":null,"abstract":"","PeriodicalId":13664,"journal":{"name":"Int. J. Appl. Earth Obs. Geoinformation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74288118","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 7
Countrywide mapping of shrub forest using multi-sensor data and bias correction techniques 基于多传感器数据和偏差校正技术的全国灌木林制图
Int. J. Appl. Earth Obs. Geoinformation Pub Date : 2021-12-01 DOI: 10.1016/j.jag.2021.102613
Marius Rüetschi, D. Weber, Tiziana L. Koch, L. Waser, D. Small, C. Ginzler
{"title":"Countrywide mapping of shrub forest using multi-sensor data and bias correction techniques","authors":"Marius Rüetschi, D. Weber, Tiziana L. Koch, L. Waser, D. Small, C. Ginzler","doi":"10.1016/j.jag.2021.102613","DOIUrl":"https://doi.org/10.1016/j.jag.2021.102613","url":null,"abstract":"","PeriodicalId":13664,"journal":{"name":"Int. J. Appl. Earth Obs. Geoinformation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79779186","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 7
Airborne multispectral LiDAR point cloud classification with a feature Reasoning-based graph convolution network 机载多光谱激光雷达点云分类基于特征推理的图卷积网络
Int. J. Appl. Earth Obs. Geoinformation Pub Date : 2021-12-01 DOI: 10.1016/j.jag.2021.102634
Peiran Zhao, H. Guan, Dilong Li, Yongtao Yu, Hanyun Wang, K. Gao, J. M. Junior, Jonathan Li
{"title":"Airborne multispectral LiDAR point cloud classification with a feature Reasoning-based graph convolution network","authors":"Peiran Zhao, H. Guan, Dilong Li, Yongtao Yu, Hanyun Wang, K. Gao, J. M. Junior, Jonathan Li","doi":"10.1016/j.jag.2021.102634","DOIUrl":"https://doi.org/10.1016/j.jag.2021.102634","url":null,"abstract":"","PeriodicalId":13664,"journal":{"name":"Int. J. Appl. Earth Obs. Geoinformation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88991076","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 13
Hyperspectral image classification on insufficient-sample and feature learning using deep neural networks: A review 基于不足样本和特征学习的深度神经网络高光谱图像分类综述
Int. J. Appl. Earth Obs. Geoinformation Pub Date : 2021-12-01 DOI: 10.1016/j.jag.2021.102603
Naftaly Muriuki Wambugu, Yiping Chen, Zhenlong Xiao, Kun Tan, Mingqiang Wei, Xiaoxue Liu, Jonathan Li
{"title":"Hyperspectral image classification on insufficient-sample and feature learning using deep neural networks: A review","authors":"Naftaly Muriuki Wambugu, Yiping Chen, Zhenlong Xiao, Kun Tan, Mingqiang Wei, Xiaoxue Liu, Jonathan Li","doi":"10.1016/j.jag.2021.102603","DOIUrl":"https://doi.org/10.1016/j.jag.2021.102603","url":null,"abstract":"","PeriodicalId":13664,"journal":{"name":"Int. J. Appl. Earth Obs. Geoinformation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74657340","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 51
Urban vegetation segmentation using terrestrial LiDAR point clouds based on point non-local means network 基于点非局部均值网络的陆地LiDAR点云城市植被分割
Int. J. Appl. Earth Obs. Geoinformation Pub Date : 2021-12-01 DOI: 10.1016/j.jag.2021.102580
Yiping Chen, Rongren Wu, Chengzhe Yang, Yaojin Lin
{"title":"Urban vegetation segmentation using terrestrial LiDAR point clouds based on point non-local means network","authors":"Yiping Chen, Rongren Wu, Chengzhe Yang, Yaojin Lin","doi":"10.1016/j.jag.2021.102580","DOIUrl":"https://doi.org/10.1016/j.jag.2021.102580","url":null,"abstract":"","PeriodicalId":13664,"journal":{"name":"Int. J. Appl. Earth Obs. Geoinformation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73965871","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 11
Hierarchical semantic segmentation of urban scene point clouds via group proposal and graph attention network 基于分组建议和图关注网络的城市场景点云分层语义分割
Int. J. Appl. Earth Obs. Geoinformation Pub Date : 2021-12-01 DOI: 10.1016/j.jag.2021.102626
Tengping Jiang, Jian Sun, Shan Liu, Xu Zhang, Qi Wu, Yongjun Wang
{"title":"Hierarchical semantic segmentation of urban scene point clouds via group proposal and graph attention network","authors":"Tengping Jiang, Jian Sun, Shan Liu, Xu Zhang, Qi Wu, Yongjun Wang","doi":"10.1016/j.jag.2021.102626","DOIUrl":"https://doi.org/10.1016/j.jag.2021.102626","url":null,"abstract":"","PeriodicalId":13664,"journal":{"name":"Int. J. Appl. Earth Obs. Geoinformation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77514990","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 15
A methodology to reconstruct LAI time series data based on generative adversarial network and improved Savitzky-Golay filter 基于生成对抗网络和改进Savitzky-Golay滤波的LAI时间序列数据重构方法
Int. J. Appl. Earth Obs. Geoinformation Pub Date : 2021-12-01 DOI: 10.1016/j.jag.2021.102633
Anqi Huang, Runping Shen, Wenli Di, H. Han
{"title":"A methodology to reconstruct LAI time series data based on generative adversarial network and improved Savitzky-Golay filter","authors":"Anqi Huang, Runping Shen, Wenli Di, H. Han","doi":"10.1016/j.jag.2021.102633","DOIUrl":"https://doi.org/10.1016/j.jag.2021.102633","url":null,"abstract":"","PeriodicalId":13664,"journal":{"name":"Int. J. Appl. Earth Obs. Geoinformation","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89935845","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 11
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