المؤلفون: Carlos Campoverde, Mila Koeva, Claudio Persello, Konstantin Maslov, Weiqin Jiao, Dessislava Petrova-Antonova

المصدر: Remote Sensing, Vol 16, Iss 8, p 1386 (2024)

مصطلحات موضوعية: roof structure extraction, image processing, deep learning, HEAT, 3D modelling, LOD2, Science

وصف الملف: electronic resource

العلاقة: https://www.mdpi.com/2072-4292/16/8/1386Test; https://doaj.org/toc/2072-4292Test

الوصول الحر: https://doaj.org/article/57fbd468c1254cbfa9ac41bf5845a6c2Test

المؤلفون: Sophie Crommelinck, Mila Koeva, Michael Ying Yang, George Vosselman

المصدر: Remote Sensing, Vol 11, Iss 21, p 2505 (2019)

مصطلحات موضوعية: cadastral mapping, indirect surveying, boundary extraction, boundary delineation, machine learning, deep learning, image analysis, cnn, rf, Science

وصف الملف: electronic resource

العلاقة: https://www.mdpi.com/2072-4292/11/21/2505Test; https://doaj.org/toc/2072-4292Test

الوصول الحر: https://doaj.org/article/793cc21ee81e471983a42c051009b1feTest

المؤلفون: Xue Xia, Claudio Persello, Mila Koeva

المصدر: Remote Sensing, Vol 11, Iss 14, p 1725 (2019)

مصطلحات موضوعية: deep learning, fully convolutional networks, cadaster boundaries, contour detection, unmanned aerial vehicles, Science

وصف الملف: electronic resource

العلاقة: https://www.mdpi.com/2072-4292/11/14/1725Test; https://doaj.org/toc/2072-4292Test

الوصول الحر: https://doaj.org/article/f5b444032220401c84cea703caa35e49Test

المؤلفون: Claudio Persello, Jan Dirk Wegner, Ronny Hansch, Devis Tuia, Pedram Ghamisi, Mila Koeva, Gustau Camps-Valls

المساهمون: Department of Earth Observation Science, UT-I-ITC-ACQUAL, Faculty of Geo-Information Science and Earth Observation, Department of Urban and Regional Planning and Geo-Information Management, UT-I-ITC-PLUS

المصدر: IEEE geoscience and remote sensing magazine, 10(2), 172-200. IEEE
IEEE Geoscience and Remote Sensing Magazine 10(2022)2, 172-200

مصطلحات موضوعية: neural-networks, data fusion, sustainable development, roads, delineation, General Computer Science, feature extraction, hyperspectral image classification, time-series, Sustainable Development Goals, resolution, aerial images, data mining, earth, geospatial analysis, monitoring, Deep Learning, ITC-ISI-JOURNAL-ARTICLE, General Earth and Planetary Sciences, Earth Observation, land-cover, Electrical and Electronic Engineering, Instrumentation, satellite images, sar

وصف الملف: application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a8ed783b3d7cfd69ddcb72c8b0d8449Test
https://elib.dlr.de/191309Test/

المؤلفون: Mila Koeva, George Vosselman, Michael Ying Yang, Sophie Crommelinck

المساهمون: Department of Earth Observation Science, UT-I-ITC-ACQUAL, Faculty of Geo-Information Science and Earth Observation, Department of Urban and Regional Planning and Geo-Information Management, UT-I-ITC-PLUS

المصدر: Remote Sensing, Vol 11, Iss 21, p 2505 (2019)
Remote sensing, 11(21):2505, 1-22. MDPI
Remote Sensing; Volume 11; Issue 21; Pages: 2505

مصطلحات موضوعية: 010504 meteorology & atmospheric sciences, Computer science, Cadastre, 0211 other engineering and technologies, 02 engineering and technology, 01 natural sciences, Convolutional neural network, Boundary (real estate), boundary delineation, image analysis, lcsh:Science, Image resolution, 021101 geological & geomatics engineering, 0105 earth and related environmental sciences, Remote sensing, business.industry, Deep learning, deep learning, Image segmentation, 15. Life on land, indirect surveying, boundary extraction, machine learning, ITC-ISI-JOURNAL-ARTICLE, General Earth and Planetary Sciences, RF, lcsh:Q, Artificial intelligence, business, cadastral mapping, ITC-GOLD, CNN

وصف الملف: application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cbd4c9e18bcd1fb98aec8efc7322eb37Test
https://ezproxy2.utwente.nl/login?url=https://library.itc.utwente.nl/login/2019/isi/crommelinck_app.pdfTest

المؤلفون: Claudio Persello, Mila Koeva, Xue Xia

المساهمون: Department of Urban and Regional Planning and Geo-Information Management, Faculty of Geo-Information Science and Earth Observation, UT-I-ITC-PLUS, Department of Earth Observation Science, UT-I-ITC-ACQUAL

المصدر: IGARSS
IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium, 2455-2458
STARTPAGE=2455;ENDPAGE=2458;TITLE=IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium

مصطلحات موضوعية: 010504 meteorology & atmospheric sciences, Land rights, Computer science, 22/3 OA procedure, Cadastre, 0211 other engineering and technologies, Foundation (engineering), Land management, Deep learning, 02 engineering and technology, computer.software_genre, 01 natural sciences, Data mining, computer, 021101 geological & geomatics engineering, 0105 earth and related environmental sciences

وصف الملف: application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2fb4726b7d5078bfaca27a572dd940b6Test
https://doi.org/10.1109/igarss.2019.8898156Test

المؤلفون: Mila Koeva, Xue Xia, Claudio Persello

المساهمون: Department of Earth Observation Science, Faculty of Geo-Information Science and Earth Observation, UT-I-ITC-ACQUAL, Department of Urban and Regional Planning and Geo-Information Management, UT-I-ITC-PLUS

المصدر: Remote Sensing; Volume 11; Issue 14; Pages: 1725
Remote sensing, 11(14):1725. MDPI
Remote Sensing, Vol 11, Iss 14, p 1725 (2019)

مصطلحات موضوعية: contour detection, 010504 meteorology & atmospheric sciences, Computer science, Cadastre, deep learning, fully convolutional networks, cadaster boundaries, unmanned aerial vehicles, 0211 other engineering and technologies, 02 engineering and technology, Land administration, computer.software_genre, 01 natural sciences, Boundary (real estate), Field (computer science), lcsh:Science, 021101 geological & geomatics engineering, 0105 earth and related environmental sciences, business.industry, Deep learning, ITC-ISI-JOURNAL-ARTICLE, General Earth and Planetary Sciences, lcsh:Q, Data mining, Artificial intelligence, business, ITC-GOLD, computer

وصف الملف: application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f4ff6f8662880f04b800745262bdd6fTest