Published 12 issues per year
ISSN Print: 1064-2315
ISSN Online: 2163-9337
Indexed in
Reconstruction of Missing Data in Time-Series of Optical Satellite Images Using Self-Organizing Kohonen Maps
ABSTRACT
The paper offers the reconstruction method of data in time-series of optical satellite images of high and medium spatial resolution. The method is based on self-organizing Kohonen maps (SOMs). The reconstruction accuracy was analyzed on data of satellites Landsat-8 (30 m) and Sich-2 (8 m). The average error of reconstruction was 11 % for Landsat-8 and 4 % for Sich-2.
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Lavreniuk Mykola, Kussul Nataliia, Skakun Sergii, Shelestov Andrii, Yailymov Bohdan, Regional retrospective high resolution land cover for Ukraine: Methodology and results, 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2015. Crossref
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Lavreniuk M. S., Skakun S. V., Shelestov A. Ju., Yalimov B. Ya., Yanchevskii S. L., Yaschuk D. Ju., Kosteckiy A. Ì., Large-Scale Classification of Land Cover Using Retrospective Satellite Data, Cybernetics and Systems Analysis, 52, 1, 2016. Crossref
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Skakun Sergii, Kussul Nataliia, Shelestov Andrii Yu., Lavreniuk Mykola, Kussul Olga, Efficiency Assessment of Multitemporal C-Band Radarsat-2 Intensity and Landsat-8 Surface Reflectance Satellite Imagery for Crop Classification in Ukraine, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9, 8, 2016. Crossref
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Kussul Nataliia, Lavreniuk Mykola, Shelestov Andrii, Yailymov Bohdan, Along the season crop classification in Ukraine based on time series of optical and SAR images using ensemble of neural network classifiers, 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2016. Crossref
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Kussul N., Shelestov A., Skakun S., Basarab R., Yaylimov B., Lavreniuk M., Kolotii A., Yashchuk D., Retrospective regional level land cover map for Ukraine: methodology of development and results analysis, Kosmìčna nauka ì tehnologìâ, 21, 3(94), 2015. Crossref
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Kussul Nataliia, Lemoine Guido, Gallego Francisco Javier, Skakun Sergii V., Lavreniuk Mykola, Shelestov Andrii Yu., Parcel-Based Crop Classification in Ukraine Using Landsat-8 Data and Sentinel-1A Data, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9, 6, 2016. Crossref
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Kussul N.N., Shelestov A.Yu., Lavreniuk M.S., Butko I.N., Information techniques of deep machine learning for the analysis of land cover changes, Reports of the National Academy of Sciences of Ukraine, 8, 2016. Crossref
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Kussul Nataliia, Lavreniuk Mykola, Skakun Sergii, Shelestov Andrii, Deep Learning Classification of Land Cover and Crop Types Using Remote Sensing Data, IEEE Geoscience and Remote Sensing Letters, 14, 5, 2017. Crossref
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Emanuel Gombe Kamara, Asanuma Ichio, Park Jong-Geol, Quantification of Annual Urban Growth of Dar es Salaam Tanzania from Landsat Time Series Data, Advances in Remote Sensing, 06, 03, 2017. Crossref
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Shelestov Andrii, Lavreniuk Mykola, Kussul Nataliia, Novikov Alexei, Skakun Sergii, Exploring Google Earth Engine Platform for Big Data Processing: Classification of Multi-Temporal Satellite Imagery for Crop Mapping, Frontiers in Earth Science, 5, 2017. Crossref
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Bulhoes Junio S., Martins Cristiane L., Oliveira Marcia D., Calheiros Debora F., Calixto Wesley P., Indirect prediction system for variables that have gaps in their time series, Chaos, Solitons & Fractals, 131, 2020. Crossref
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Li Zhengtao, Chen Guokun, Zhang Tianxu, Temporal Attention Networks for Multitemporal Multisensor Crop Classification, IEEE Access, 7, 2019. Crossref
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Li Zhengtao, Zhou Gang, Zhang Tianxu, Interleaved group convolutions for multitemporal multisensor crop classification, Infrared Physics & Technology, 102, 2019. Crossref
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de Oliveira Santos Cecília Lira Melo, Lamparelli Rubens Augusto Camargo, Dantas Araújo Figueiredo Gleyce Kelly, Dupuy Stéphane, Boury Julie, Luciano Ana Cláudia dos Santos, Torres Ricardo da Silva, le Maire Guerric, Classification of Crops, Pastures, and Tree Plantations along the Season with Multi-Sensor Image Time Series in a Subtropical Agricultural Region, Remote Sensing, 11, 3, 2019. Crossref
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Kussul N.M., Shelestov A.Yu., Yailymov B.Ya., Shumilo L.L., Yailymova H.O., Lavreniuk M.S., Kolos L.M., Pidgorodetska L.V., Bilokonska Y.V., Urban Atlas for Ukrainian cities on the basis of high-resolution satellite data, Kosmìčna nauka ì tehnologìâ, 25, 6, 2019. Crossref
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Li Zhengtao, Chen Guokun, Zhang Tianxu, A CNN-Transformer Hybrid Approach for Crop Classification Using Multitemporal Multisensor Images, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13, 2020. Crossref
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Zhong Bo, Yang Aixia, Jue Kunsheng, Wu Junjun, Long Time Series High-Quality and High-Consistency Land Cover Mapping Based on Machine Learning Method at Heihe River Basin, Remote Sensing, 13, 8, 2021. Crossref
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Li Zhengtao, Zhou Gang, Song Qiong, A temporal group attention approach for multitemporal multisensor crop classification, Infrared Physics & Technology, 105, 2020. Crossref
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Bulhoes Junio S., Assis Alfredo O., Martins Cristiane L., Furriel Geovanne P., Silva Brunna C. R., Rodrigues Luann, Reis Marcio R. C., Calheiros Debora F., Oliveira Marcia D., Calixto Wesley P., Gap filling in time series: A new methodology applying spectral analysis and system identification, 2017 CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON), 2017. Crossref