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@article{bb337754,
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@article{bb337755,
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@article{bb337756,
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Sentinel-1 SAR Data",
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@article{bb337757,
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Graphical Models and TerraSAR-X Spotlight Imagery",
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@article{bb337758,
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@article{bb337759,
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@article{bb337760,
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between Landscape Patterns and Topography in Urban-Rural Profiles:
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@article{bb337761,
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Imagery Using Multi-Scale Textures and Spatial Dependence",
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@article{bb337762,
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Satellite Imagery Using Patch-Level Spatial Features and Gestalt Laws
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@article{bb337763,
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Programs: The Case of Bandung City, Indonesia",
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@article{bb337764,
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DEM Data in China",
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@article{bb337765,
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@article{bb337766,
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        TITLE = "A Comprehensive Evaluation of Approaches for Built-Up Area Extraction
from Landsat OLI Images Using Massive Samples",
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@article{bb337767,
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        TITLE = "Separating Built-Up Areas from Bare Land in Mediterranean Cities
Using Sentinel-2A Imagery",
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@article{bb337768,
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        TITLE = "Delimitating Urban Commercial Central Districts by Combining Kernel
Density Estimation and Road Intersections: A Case Study in Nanjing
City, China",
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        YEAR = "2019",
        NUMBER = "2",
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@article{bb337769,
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        TITLE = "Multi-Level Morphometric Characterization of Built-up Areas and
Change Detection in Siberian Sub-Arctic Urban Area: Yakutsk",
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        NUMBER = "3",
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@article{bb337770,
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Deployed by 3D-Orthorectification Correction from WorldView-3 and
LiDAR Imageries",
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        NUMBER = "6",
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@article{bb337771,
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        TITLE = "Estimating Hilly Areas Population Using a Dasymetric Mapping
Approach: A Case of Sri Lanka's Highest Mountain Range",
        JOURNAL = IJGI,
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        NUMBER = "4",
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@article{bb337772,
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Patterns",
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@article{bb337773,
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@article{bb337774,
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Efforts by Combining Crowdsourcing and Deep Learning",
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@article{bb337775,
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Surface Built-Up Areas Using LANDSAT 8 OLI Imagery",
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@article{bb337776,
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Multisource Remotely Sensed Data",
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@article{bb337777,
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@article{bb337780,
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@article{bb337781,
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@article{bb337782,
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@article{bb337783,
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        NUMBER = "11",
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@article{bb337784,
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        NUMBER = "13",
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@article{bb337785,
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@article{bb337786,
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Remote Sensing Imagery in Guangzhou, China",
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@article{bb337787,
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        NUMBER = "15",
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@article{bb337788,
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@article{bb337790,
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@article{bb337791,
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@article{bb337792,
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@article{bb337793,
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Urban Typologies in Portugal",
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@article{bb337794,
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@inproceedings{bb337796,
        AUTHOR = "Kotaridis, I. and Lazaridou, M.",
        TITLE = "Object-based Image Analysis of Different Spatial Resolution Satellite
Imageries In Urban and Suburban Environment",
        BOOKTITLE = ISPRS20,
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@article{bb337797,
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        NUMBER = "9",
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@article{bb337798,
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@article{bb337799,
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A Satelliate-Derived High-Resolution Index for Extracting Urban Areas",
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