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NNetEn2D: Two-Dimensional Neural Network Entropy in Remote Sensing Imagery and Geophysical Mapping
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Remote Sensing,
2022 |
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Entropy Approximation by Machine Learning Regression: Application for Irregularity Evaluation of Images in Remote Sensing
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Remote Sensing,
2022 |
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[3]
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Spatial and temporal modeling of the urban growth and land cover changes using remote sensing, spatial indexes and gis techniques in irbid city, Jordan
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Fugara… - APPLIED ECOLOGY …,
2022 |
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[4]
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Las Vegas Metropolitan Area Urban Sprawl Assessment Using Shannon's Entropy
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2022 |
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[5]
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Spatial and temporal modeling of the urban growth and land cover changes using remote sensing, spatial indexes and GIS techniques in Irbid city, Jordan.
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Fugara… - Applied Ecology & …,
2022 |
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Analysis of the urban growth pattern through spatial metrics; Ankara City
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Land Use Policy,
2022 |
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[7]
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Analysis of spatio-temporal dynamics of urban sprawl and growth pattern using geospatial technologies and landscape metrics in Bahir Dar, Northwest Ethiopia
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Land Use Policy,
2021 |
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Measuring the morphology of suburban settlements: Scale-dependent ambiguities of residential density development in the Prague Urban Region
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MORAVIAN GEOGRAPHICAL REPORTS,
2021 |
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Integration of remote sensing, GIS, and Shannon's entropy approach to conduct trend analysis of the dynamics change in urban/built-up areas in the Upper Citarum …
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2019 |
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Les dynamiques urbaines post-socialistes en Europe centrale et orientale. Continuités et discontinuités dans l'évolution morphologique et fonctionnelle
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2019 |
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[11]
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Critical analysis of spatial-temporal morphological characteristic of urban landscape
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2019 |
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A comparative study of spatiotemporal patterns of urban expansion in six major cities of the Yangtze River Delta from 1980 to 2015
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Ecosystem Health and Sustainability,
2018 |
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[13]
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Shannon entropy as a peri-urban landscape metric: concentration of anthropogenic land cover element
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Journal of Spatial Science,
2018 |
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[14]
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Urban sprawl trend analysis using statistical and remote sensing approach Case Study: Mashhad City
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Creative City Design,
2017 |
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[15]
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Morfologie sídel suburbánní zóny Prahy
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2017 |
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[1]
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Proceedings of the 4th International Conference on Big Data and Artificial Intelligence Applications (ICBDAIA’25)
Lecture Notes in Networks and Systems,
2026
DOI:10.1007/978-3-032-10895-1_13
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[2]
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NNetEn2D: Two-Dimensional Neural Network Entropy in Remote Sensing Imagery and Geophysical Mapping
Remote Sensing,
2022
DOI:10.3390/rs14092166
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[3]
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Measuring the morphology of suburban settlements: Scale-dependent ambiguities of residential density development in the Prague Urban Region
Moravian Geographical Reports,
2021
DOI:10.2478/mgr-2021-0003
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[4]
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A comparative study of spatiotemporal patterns of urban expansion in six major cities of the Yangtze River Delta from 1980 to 2015
Ecosystem Health and Sustainability,
2018
DOI:10.1080/20964129.2018.1469960
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[5]
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Shannon entropy as a peri-urban landscape metric: concentration of anthropogenic land cover element
Journal of Spatial Science,
2018
DOI:10.1080/14498596.2018.1482803
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