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1دورية 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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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