22.2.8 Land Cover Change Analysis, Remote Sensing Change Analysis, Temporal Analysis

Chapter Contents (Back)
Classification. Change Detection. Land Cover. Temporal Analysis. Remote Sensing. Agricultural. Image level, non specific:
See also Change Detection for Remote Sensing Image Level.
See also Land Use Change Analysis.
See also Changes using Landsat Images. SAR and Radar:
See also Land Cover, Land Use Change Analysis for Radar and SAR. Urban specific:
See also Change Detection, Urban Area Land Cover, Temporal Analysis. Applications to specific regions:
See also Applied Change Analysis, Specific Site Applications, Site Specific Temporal. Longer term changes:
See also Land Cover Change Analysis, Seasonal, Annual Variations, Climate Change, Analysis. Global:
See also Land Cover Change Analysis, Global Changes, Global Analysis. Image level:
See also Change Detection -- Image Level.
See also Change Detection for Damage Assessment.
See also Night Time Image Analysis for Urban Area Detection, Change and Growth. Forest changes:
See also Forest Change Evaluation, Change Detection, Temporal Analysis.
See also Rice Crop Analysis, Production, Detection, Health, Change.
See also Gross Primary Production, Net Primary Production, GPP, NPP.

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See also Split-Based Approach to Unsupervised Change Detection in Large-Size Multitemporal Images: Application to Tsunami-Damage Assessment, A. BibRef

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Pelletier, C.[Charlotte], Valero, S.[Silvia], Inglada, J.[Jordi], Champion, N.[Nicolas], Sicre, C.M.[Claire Marais], Dedieu, G.[Gérard],
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Zeng, D.[Dan], Wu, L.[Lidan], Chen, B.[Boyang], Shen, W.[Wei],
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Zeng, D.[Dan], Fang, R.[Rui], Ge, S.M.[Shi-Ming], Li, S.Y.[Shu-Ying], Zhang, Z.J.[Zhi-Jiang],
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Guttler, F.[Fabio], Ienco, D.[Dino], Nin, J.[Jordi], Teisseire, M.[Maguelonne], Poncelet, P.[Pascal],
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Wang, B.[Biao], Choi, J.[Jaewan], Choi, S.[Seokeun], Lee, S.[Soungki], Wu, P.[Penghai], Gao, Y.[Yan],
Image Fusion-Based Land Cover Change Detection Using Multi-Temporal High-Resolution Satellite Images,
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Song, A.[Ahram], Choi, J.[Jaewan],
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You, M.[Mingde], Filippi, A.M.[Anthony M.], Güneralp, I.[Inci], Güneralp, B.[Burak],
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Gong, W.B.[Wen-Bing], Fang, S.H.[Sheng-Hui], Yang, G.[Guang], Ge, M.Y.[Meng-Yu],
Using a Hidden Markov Model for Improving the Spatial-Temporal Consistency of Time Series Land Cover Classification,
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Ma, C.H.[Cai-Hong], Xia, W.[Wei], Chen, F.[Fu], Liu, J.B.[Jian-Bo], Dai, Q.[Qin], Jiang, L.Y.[Li-Yuan], Duan, J.B.[Jian-Bo], Liu, W.[Wei],
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Wei, Z.Q.[Zi-Quan], Han, Y.F.[Yi-Feng], Li, M.Y.[Meng-Ya], Yang, K.[Kun], Yang, Y.[Yang], Luo, Y.[Yi], Ong, S.H.[Sim-Heng],
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Liu, S.[Sicong], Du, Q.[Qian], Tong, X.H.[Xiao-Hua], Samat, A.[Alim], Pan, H.[Haiyan], Ma, X.L.[Xiao-Long],
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Chen, Z.[Zhao], Wang, B.[Bin],
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Yang, M.D.[Ming-Der], Chen, S.C.[Su-Chin], Tsai, H.P.[Hui Ping],
A Long-Term Vegetation Recovery Estimation for Mt. Jou-Jou Using Multi-Date SPOT 1, 2, and 4 Images,
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Kim, Y.[Yeseul], Park, N.W.[No-Wook], Lee, K.D.[Kyung-Do],
Self-Learning Based Land-Cover Classification Using Sequential Class Patterns from Past Land-Cover Maps,
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Wang, J.[Jing], Huang, B.[Bo],
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Salmon, B.P., Holloway, D.S., Kleynhans, W., Olivier, J.C., Wessels, K.J.,
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IEEE DOI 1712
Feature extraction, Force, Learning systems, MODIS, Remote sensing, Satellites, Time series analysis, Nonlinear detection, time series BibRef

Böhler, J.E.[Jonas E.], Schaepman, M.E.[Michael E.], Kneubühler, M.[Mathias],
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Chen, P.F.[Peng-Fei], Shang, J.[Jiali], Qian, B.[Budong], Jing, Q.[Qi], Liu, J.[Jiangui],
A New Regionalization Scheme for Effective Ecological Restoration on the Loess Plateau in China,
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Wang, L.H.[Lan-Hui], Fensholt, R.[Rasmus],
Temporal Changes in Coupled Vegetation Phenology and Productivity are Biome-Specific in the Northern Hemisphere,
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Ji, S.P.[Shun-Ping], Zhang, C.[Chi], Xu, A.J.[An-Jian], Shi, Y.[Yun], Duan, Y.L.[Yu-Lin],
3D Convolutional Neural Networks for Crop Classification with Multi-Temporal Remote Sensing Images,
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Zhu, R.[Ruojin], Yu, D.[Dawen], Ji, S.P.[Shun-Ping], Lu, M.[Meng],
Matching RGB and Infrared Remote Sensing Images with Densely-Connected Convolutional Neural Networks,
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Wang, Y.H.[Yan-Hui], Zhang, Q.[Qisheng], Guan, H.L.[Hong-Liang],
Incrementally Detecting Change Types of Spatial Area Object: A Hierarchical Matching Method Considering Change Process,
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Cierniewski, J.[Jerzy], Ceglarek, J.[Jakub], Karnieli, A.[Arnon], Ben-Dor, E.[Eyal], Królewicz, S.[Slawomir], Kazmierowski, C.[Cezary],
Shortwave Radiation Affected by Agricultural Practices,
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Kong, Y.L.[Yun-Long], Huang, Q.Q.[Qing-Qing], Wang, C.Y.[Cheng-Yi], Chen, J.B.[Jing-Bo], Chen, J.S.[Jian-Sheng], He, D.X.[Dong-Xu],
Long Short-Term Memory Neural Networks for Online Disturbance Detection in Satellite Image Time Series,
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Zhai, Y.G.[Yong-Guang], Qu, Z.Y.[Zhong-Yi], Hao, L.[Lei],
Land Cover Classification Using Integrated Spectral, Temporal, and Spatial Features Derived from Remotely Sensed Images,
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Lv, Z.Y.[Zhi-Yong], Liu, T.F.[Tong-Fei], Wan, Y.L.[Yi-Liang], Benediktsson, J.A.[Jón Atli], Zhang, X.K.[Xiao-Kang],
Post-Processing Approach for Refining Raw Land Cover Change Detection of Very High-Resolution Remote Sensing Images,
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Lv, Z.Y.[Zhi-Yong], Liu, T.F.[Tong-Fei], Zhang, P., Benediktsson, J.A.[Jón Atli], Lei, T., Zhang, X.K.[Xiao-Kang],
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GeoRS(57), No. 12, December 2019, pp. 9554-9574.
IEEE DOI 1912
Remote sensing, Histograms, Market research, Shape, Level set, Usability, Terrain factors, urban remote sensing BibRef

Lv, Z.Y.[Zhi-Yong], Liu, T.F.[Tong-Fei], Benediktsson, J.A.[Jón Atli], Lei, T.[Tao], Wan, Y.L.[Yi-Liang],
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Solano-Correa, Y.T.[Yady Tatiana], Bovolo, F.[Francesca], Bruzzone, L.[Lorenzo],
An Approach for Unsupervised Change Detection in Multitemporal VHR Images Acquired by Different Multispectral Sensors,
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Rußwurm, M.[Marc], Körner, M.[Marco],
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Earlier: Multi-temporal Land Cover Classification With Long Short-term Memory Neural Networks Hannover17(551-558).
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Lang, M.[Marc], Alleaume, S.[Samuel], Luque, S.[Sandra], Baghdadi, N.[Nicolas], Féret, J.B.[Jean-Baptiste],
Monitoring and Characterizing Heterogeneous Mediterranean Landscapes with Continuous Textural Indices Based on VHSR Imagery,
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Kovac, Ž.[Žarko], Platt, T.[Trevor], Sathyendranath, S.[Shubha], Lomas, M.W.[Michael W.],
Extraction of Photosynthesis Parameters from Time Series Measurements of In Situ Production: Bermuda Atlantic Time-Series Study,
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Mattupalli, C.[Chakradhar], Moffet, C.A.[Corey A.], Shah, K.N.[Kushendra N.], Young, C.A.[Carolyn A.],
Supervised Classification of RGB Aerial Imagery to Evaluate the Impact of a Root Rot Disease,
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Chen, J.[Jiage], Chen, J.[Jun], Liu, H.P.[Hui-Ping], Peng, S.[Shu],
Detection of Cropland Change Using Multi-Harmonic Based Phenological Trajectory Similarity,
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Weilert, T.E.[Trina E.], Ji, W.[Wei], Zubair, O.A.[Opeyemi A.],
Assessing the Impacts of Streamside Ordinance Protection on the Spatial and Temporal Variability in Urban Riparian Vegetation,
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Cui, G.Q.[Guo-Qing], Lv, Z.Y.[Zhi-Yong], Li, G.F.[Guang-Fei], Benediktsson, J.A.[Jón Atli], Lu, Y.D.[Yu-Dong],
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Woodward, B.D.[Brian D.], Evangelista, P.H.[Paul H.], Young, N.E.[Nicholas E.], Vorster, A.G.[Anthony G.], West, A.M.[Amanda M.], Carroll, S.L.[Sarah L.], Girma, R.K.[Rebecca K.], Hatcher, E.Z.[Emma Zink], Anderson, R.[Ryan], Vahsen, M.L.[Megan L.], Vashisht, A.[Amandeep], Mayer, T.[Timothy], Carver, D.[Daniel], Jarnevich, C.[Catherine],
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Wang, C.J.[Cang-Jiao], Lei, S.G.[Shao-Gang], Elmore, A.J.[Andrew J.], Jia, D.[Duo], Mu, S.G.[Shou-Guo],
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Tang, Y.Z.[Yu-Zhi], Shao, Q.Q.[Quan-Qin], Liu, J.Y.[Ji-Yuan], Zhang, H.Y.[Hai-Yang], Yang, F.[Fan], Cao, W.[Wei], Wu, D.[Dan], Gong, G.[Guoli],
Did Ecological Restoration Hit Its Mark? Monitoring and Assessing Ecological Changes in the Grain for Green Program Region Using Multi-source Satellite Images,
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Ma, W.P.[Wen-Ping], Xiong, Y.[Yunta], Wu, Y.[Yue], Yang, H.[Hui], Zhang, X.R.[Xiang-Rong], Jiao, L.C.[Li-Cheng],
Change Detection in Remote Sensing Images Based on Image Mapping and a Deep Capsule Network,
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Albergel, C.[Clément], Dutra, E.[Emanuel], Bonan, B.[Bertrand], Zheng, Y.J.[Yong-Jun], Munier, S.[Simon], Balsamo, G.[Gianpaolo], de Rosnay, P.[Patricia], Muńoz-Sabater, J.[Joaquin], Calvet, J.C.[Jean-Christophe],
Monitoring and Forecasting the Impact of the 2018 Summer Heatwave on Vegetation,
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Pelletier, C.[Charlotte], Webb, G.I.[Geoffrey I.], Petitjean, F.[François],
Temporal Convolutional Neural Network for the Classification of Satellite Image Time Series,
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Wan, X., Liu, J., Li, S., Dawson, J., Yan, H.,
An Illumination-Invariant Change Detection Method Based on Disparity Saliency Map for Multitemporal Optical Remotely Sensed Images,
GeoRS(57), No. 3, March 2019, pp. 1311-1324.
IEEE DOI 1903
geophysical image processing, image segmentation, object detection, remote sensing, sunlight, saliency BibRef

Interdonato, R.[Roberto], Ienco, D.[Dino], Gaetano, R.[Raffaele], Ose, K.[Kenji],
DuPLO: A DUal view Point deep Learning architecture for time series classificatiOn,
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Elsevier DOI 1903
Satellite image time series, Deep learning, Land cover classification, Sentinel-2 BibRef

Geng, X.R.[Xiu-Rui], Ji, L.[Luyan], Zhao, Y.C.[Yong-Chao],
Filter tensor analysis: A tool for multi-temporal remote sensing target detection,
PandRS(151), 2019, pp. 290-301.
Elsevier DOI 1904
Target detection, Tensor, Multi-temporal, Multilinear function, CEM BibRef

Zhang, P., Gong, M., Zhang, H., Liu, J., Ban, Y.,
Unsupervised Difference Representation Learning for Detecting Multiple Types of Changes in Multitemporal Remote Sensing Images,
GeoRS(57), No. 4, April 2019, pp. 2277-2289.
IEEE DOI 1904
Gaussian distribution, geophysical image processing, image classification, image resolution, neural nets, remote sensing BibRef

Haouas, F.[Fatma], Solaiman, B.[Basel], Ben Dhiaf, Z.[Zouhour], Hamouda, A.[Atef], Bsaies, K.[Khaled],
Multi-temporal image change mining based on evidential conflict reasoning,
PandRS(151), 2019, pp. 59-75.
Elsevier DOI 1904
Change detection, Change analysis, Multi-temporal remote sensed images, Dempster-Shafer Theory, Change Measure BibRef

Mercier, A.[Audrey], Betbeder, J.[Julie], Rumiano, F.[Florent], Baudry, J.[Jacques], Gond, V.[Valéry], Blanc, L.[Lilian], Bourgoin, C.[Clément], Cornu, G.[Guillaume], Ciudad, C.[Carlos], Marchamalo, M.[Miguel], Poccard-Chapuis, R.[René], Hubert-Moy, L.[Laurence],
Evaluation of Sentinel-1 and 2 Time Series for Land Cover Classification of Forest-Agriculture Mosaics in Temperate and Tropical Landscapes,
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Osinska-Skotak, K.[Katarzyna], Jelowicki, L.[Lukasz], Bakula, K.[Krzysztof], Michalska-Hejduk, D.[Dorota], Wylazlowska, J.[Justyna], Kopec, D.[Dominik],
Analysis of Using Dense Image Matching Techniques to Study the Process of Secondary Succession in Non-Forest Natura 2000 Habitats,
RS(11), No. 8, 2019, pp. xx-yy.
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Sousa, D.[Daniel], Small, C.[Christopher], Spalton, A.[Andrew], Kwarteng, A.[Andy],
Coupled Spatiotemporal Characterization of Monsoon Cloud Cover and Vegetation Phenology,
RS(11), No. 10, 2019, pp. xx-yy.
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Diao, C.Y.[Chun-Yuan],
Innovative pheno-network model in estimating crop phenological stages with satellite time series,
PandRS(153), 2019, pp. 96-109.
Elsevier DOI 1906
Complex network, Time series, Optical imaging, Phenology, Agriculture BibRef

Peng, D.F.[Dai-Feng], Zhang, Y.J.[Yong-Jun], Guan, H.Y.[Hai-Yan],
End-to-End Change Detection for High Resolution Satellite Images Using Improved UNet++,
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Paris, C., Bruzzone, L., Fernández-Prieto, D.,
A Novel Approach to the Unsupervised Update of Land-Cover Maps by Classification of Time Series of Multispectral Images,
GeoRS(57), No. 7, July 2019, pp. 4259-4277.
IEEE DOI 1907
Remote sensing, Earth, Training, Artificial satellites, Reliability, Time series analysis, Satellites, Automatic classification, unsupervised methods BibRef

Zakeri, F.[Fatemeh], Huang, B.[Bo], Saradjian, M.R.[Mohammad Reza],
Fusion of Change Vector Analysis in Posterior Probability Space and Postclassification Comparison for Change Detection from Multispectral Remote Sensing Data,
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Fasbender, D.[Dominique], Vajsová, B.[Blanka], Wirnhardt, C.[Csaba], Lemajic, S.[Slavko],
A Simple Similarity Index for the Comparison of Remotely Sensed Time Series with Scarce Simultaneous Acquisitions,
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Hamada, Y.[Yuki], Szoldatits, K.[Katherine], Grippo, M.[Mark], Hartmann, H.M.[Heidi M.],
Remotely Sensed Spatial Structure as an Indicator of Internal Changes of Vegetation Communities in Desert Landscapes,
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Yeom, J.[Junho], Jung, J.[Jinha], Chang, A.[Anjin], Ashapure, A.[Akash], Maeda, M.[Murilo], Maeda, A.[Andrea], Landivar, J.[Juan],
Comparison of Vegetation Indices Derived from UAV Data for Differentiation of Tillage Effects in Agriculture,
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Zheng, Z.F.[Zhi-Feng], Cao, J.N.[Jian-Nong], Lv, Z.Y.[Zhi-Yong], Benediktsson, J.A.[Jón Atli],
Spatial-Spectral Feature Fusion Coupled with Multi-Scale Segmentation Voting Decision for Detecting Land Cover Change with VHR Remote Sensing Images,
RS(11), No. 16, 2019, pp. xx-yy.
DOI Link 1909
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Levitan, N.[Nathaniel], Kang, Y.[Yanghui], Özdogan, M.[Mutlu], Magliulo, V.[Vincenzo], Castillo, P.[Paulo], Moshary, F.[Fred], Gross, B.[Barry],
Evaluation of the Uncertainty in Satellite-Based Crop State Variable Retrievals Due to Site and Growth Stage Specific Factors and Their Potential in Coupling with Crop Growth Models,
RS(11), No. 16, 2019, pp. xx-yy.
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Xu, H.Q.[Han-Qiu], Wang, Y.[Yifan], Guan, H.[Huade], Shi, T.T.[Ting-Ting], Hu, X.S.[Xi-Sheng],
Detecting Ecological Changes with a Remote Sensing Based Ecological Index (RSEI) Produced Time Series and Change Vector Analysis,
RS(11), No. 20, 2019, pp. xx-yy.
DOI Link 1910
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Elsherif, A.[Ahmed], Gaulton, R.[Rachel], Mills, J.P.[Jon P.],
Four Dimensional Mapping of Vegetation Moisture Content Using Dual-Wavelength Terrestrial Laser Scanning,
RS(11), No. 19, 2019, pp. xx-yy.
DOI Link 1910
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And:
The Potential of Dual-wavelength Terrestrial Laser Scanning in 3d Canopy Fuel Moisture Content Mapping,
Laser19(975-979).
DOI Link 1912
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Tomppo, E.[Erkki], Antropov, O.[Oleg], Praks, J.[Jaan],
Cropland Classification Using Sentinel-1 Time Series: Methodological Performance and Prediction Uncertainty Assessment,
RS(11), No. 21, 2019, pp. xx-yy.
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Pause, M.[Marion], Raasch, F.[Filip], Marrs, C.[Christopher], Csaplovics, E.[Elmar],
Monitoring Glyphosate-Based Herbicide Treatment Using Sentinel-2 Time Series: A Proof-of-Principle,
RS(11), No. 21, 2019, pp. xx-yy.
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Jing, S., Chao, T.,
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Karakizi, C., Tsiotas, I.A., Kandylakis, Z., Vaiopoulos, A., Karantzalos, K.,
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Sainte Fare Garnot, V., Landrieu, L., Giordano, S., Chehata, N.,
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Satellites, Agriculture, Time series analysis, Feature extraction, Computer architecture, Machine learning BibRef

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MultiTemp17(1-4)
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data analysis, feature extraction, geophysical image processing, geophysical techniques, image representation, semantics BibRef

Kukawska, E., Lewinski, S., Krupinski, M., Malinowski, R., Nowakowski, A., Rybicki, M., Kotarba, A.,
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MultiTemp17(1-4)
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land cover, ESA, European Space Agency, Sentinel-2 system, data end users, land cover data base, Time series analysis BibRef

Grivei, A.C., Radoi, A., Datcu, M.,
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MultiTemp17(1-4)
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geophysical image processing, land cover, support vector machines, terrain mapping, time series, Support vector machines BibRef

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MultiTemp17(1-4)
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vegetation, accurate land cover maps, filtering mislabeled data, geographical area, improving time series classification, Vegetation BibRef

El Amin, A.M., Liu, Q., Wang, Y.,
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ICIVC17(812-817)
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Fish, Image segmentation, Optical imaging, Optical sensors, change detection, convolutional neural network, deep learning, remote sensing BibRef

Luppino, L.T.[Luigi Tommaso], Anfinsen, S.N.[Stian Normann], Moser, G.[Gabriele], Jenssen, R.[Robert], Bianchi, F.M.[Filippo Maria], Serpico, S.[Sebastiano], Mercier, G.[Gregoire],
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Chapter on Remote Sensing General Issue, Land Use, Land Cover continues in
Land Use Change Analysis .


Last update:Jul 28, 2021 at 22:23:09