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1دورية أكاديمية
المؤلفون: Miguel-Ángel Manso-Callejo, Calimanut-Ionut Cira, José-Juan Arranz-Justel, Izar Sinde-González, Tudor Sălăgean
المصدر: International Journal of Applied Earth Observations and Geoinformation, Vol 125, Iss , Pp 103563- (2023)
مصطلحات موضوعية: Solar photovoltaic panels, Large-scale extraction, Semantic segmentation, Vector-based geometry generalization, Physical geography, GB3-5030, Environmental sciences, GE1-350
العلاقة: http://www.sciencedirect.com/science/article/pii/S1569843223003874Test; https://doaj.org/toc/1569-8432Test; https://doaj.org/article/83c4d036ce974d5692ad2a1f5d249073Test
الإتاحة: https://doi.org/10.1016/j.jag.2023.103563Test
https://doaj.org/article/83c4d036ce974d5692ad2a1f5d249073Test -
2دورية أكاديمية
المؤلفون: Miguel-Angel Manso-Callejo, Calimanut-Ionut Cira, Ramon Pablo Alcarria Garrido, Francisco Javier Gonzalez Matesanz
المصدر: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 7968-7980 (2021)
مصطلحات موضوعية: Feature extraction, feature recognition, image classification, semantic segmentation, wind turbines, Ocean engineering, TC1501-1800, Geophysics. Cosmic physics, QC801-809
العلاقة: https://ieeexplore.ieee.org/document/9507327Test/; https://doaj.org/toc/2151-1535Test; https://doaj.org/article/4a2871ae3133483eb7bde69834eb9392Test
الإتاحة: https://doi.org/10.1109/JSTARS.2021.3101934Test
https://doaj.org/article/4a2871ae3133483eb7bde69834eb9392Test -
3دورية أكاديمية
المصدر: Applied Sciences; Volume 10; Issue 20; Pages: 7272
مصطلحات موضوعية: aerial orthoimagery, deep learning, remote sensing, road extraction, semantic segmentation, web-based segmentation solution
جغرافية الموضوع: agris
وصف الملف: application/pdf
العلاقة: Earth Sciences and Geography; https://dx.doi.org/10.3390/app10207272Test
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4دورية أكاديمية
المصدر: Remote Sensing; Volume 12; Issue 22; Pages: 3743
مصطلحات موضوعية: semantic segmentation, quality control, wind turbines, feature extraction
جغرافية الموضوع: agris
وصف الملف: application/pdf
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المصدر: Applied Sciences
Volume 10
Issue 20
Applied Sciences, Vol 10, Iss 7272, p 7272 (2020)
Machine Learning and Remote Sensing for Automatic Map Creation and Update, ISSN 2076-3417, 2020-10-17, Vol. 10, No. 20
Archivo Digital UPM
instnameمصطلحات موضوعية: Geospatial analysis, road extraction, Computer science, Machine vision, Matemáticas, 0211 other engineering and technologies, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, 02 engineering and technology, computer.software_genre, lcsh:Technology, aerial orthoimagery, lcsh:Chemistry, remote sensing, 11. Sustainability, 0202 electrical engineering, electronic engineering, information engineering, General Materials Science, Computer vision, Segmentation, web-based segmentation solution, Instrumentation, lcsh:QH301-705.5, 021101 geological & geomatics engineering, Fluid Flow and Transfer Processes, Pixel, Geografía, business.industry, lcsh:T, Process Chemistry and Technology, Deep learning, General Engineering, Orthophoto, deep learning, computer.file_format, lcsh:QC1-999, semantic segmentation, Computer Science Applications, GeoTIFF, lcsh:Biology (General), lcsh:QD1-999, lcsh:TA1-2040, 020201 artificial intelligence & image processing, Artificial intelligence, Scale (map), business, lcsh:Engineering (General). Civil engineering (General), computer, lcsh:Physics
وصف الملف: application/pdf
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b2f2f9c4858cabbfb344abcd507e8aecTest