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14451 |
VISION-AIDED CONTEXT-AWARE FRAMEWORK FOR PERSONAL NAVIGATION SERVICES
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XXXIX-B4, 2012: 231-236
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14452 |
VISION-BASED APPROACHES FOR QUANTIFYING CRACKS IN CONCRETE STRUCTURES
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLIII-B2-2020, 2020: 1167-1174
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14453 |
VISION-BASED INDOOR LOCALIZATION VIA A VISUAL SLAM APPROACH
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLII-2/W13, 2019: 827-833
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14454 |
VISION BASED OBSTACLE DETECTION IN UAV IMAGING
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLII-2/W6, 2017: 21-25
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14455 |
VISIR-SAT – A PROSPECTIVE MICRO-SATELLITE BASED MULTI-SPECTRAL THERMAL MISSION FOR LAND APPLICATIONS
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XL-7/W3, 2015: 1283-1289
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14456 |
VISUAL ANALYSIS AND PROCESSING OF CLUSTERS STRUCTURES IN MULTIDIMENSIONAL DATASETS
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLII-2/W4, 2017: 151-154
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14457 |
VISUAL ANALYSIS BASED ON THE DATA OF CHINESE SURVEYING AND MAPPING JOURNALS
Enthalten in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. III-4, 2016: 41-48
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14458 |
VISUAL ANALYSIS OF TEXT DATA COLLECTIONS BY FREQUENCIES OF JOINT USE OF WORDS
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLIV-2/W1-2021, 2021: 21-26. 6 S.
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14459 |
Visual analytics for built-up area understanding from metric resolution Earth observation data
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XL-7/W2, 2013: 151-154
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14460 |
VISUAL ANALYTICS WEB PLATFORM FOR DETECTING HIGH WIND ENERGY POTENTIAL IN URBAN ENVIRONMENTS BY EMPLOYING OGC STANDARDS
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLIV-4/W1-2020, 2020: 71-74
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Administration
