المؤلفون: Mboga, Nicholus O., Georganos, Stefanos, Grippa, Taïs, Lennert, Moritz, Vanhuysse, Sabine, Wolff, Eléonore

المصدر: Remote Sensing, 11 (5

مصطلحات موضوعية: Géographie humaine, Convolutional neural networks, Fully convolutional networks, Geographical object-based image analysis, Landcover classification, Remote sensing, Very high resolution

وصف الملف: 1 full-text file(s): application/pdf

Relation: uri/info:doi/10.3390/rs11050597; uri/info:scp/85062995919; https://dipot.ulb.ac.be/dspace/bitstream/2013/290298/3/doi_273925.pdf; http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/290298

الاتاحة: http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/290298
https://dipot.ulb.ac.be/dspace/bitstream/2013/290298/3/doi_273925.pdf

المؤلفون: Nicholus Mboga, Stefanos Georganos, Tais Grippa, Moritz Lennert, Sabine Vanhuysse, Eléonore Wolff

المصدر: Remote Sensing, Vol 11, Iss 5, p 597 (2019)

مصطلحات موضوعية: fully convolutional networks, convolutional neural networks, remote sensing, very high resolution, landcover classification, geographical object-based image analysis, Science

Relation: http://www.mdpi.com/2072-4292/11/5/597; https://doaj.org/toc/2072-4292; https://doaj.org/article/ad02f583d2a7460bac27a3d200ee4014

الاتاحة: https://doi.org/10.3390/rs11050597
https://doaj.org/article/ad02f583d2a7460bac27a3d200ee4014

المؤلفون: Ramón A. Díaz-Varela, Raúl de la Rosa, Lorenzo León, Pablo J. Zarco-Tejada

المصدر: Remote Sensing, Vol 7, Iss 4, Pp 4213-4232 (2015)

مصطلحات موضوعية: unmanned aerial vehicle (UAV), olive phenotyping, tree crown architecture, 3D image modelling, consumer-grade camera, very high-resolution imagery, digital surface model, geographical object-based image analysis, Science

وصف الملف: electronic resource

Relation: http://www.mdpi.com/2072-4292/7/4/4213; https://doaj.org/toc/2072-4292

URL الوصول: https://doaj.org/article/7c71601a5b48428a805c34d969370722

المؤلفون: Moritz Lennert, Nicholus Mboga, Sabine Vanhuysse, Eléonore Wolff, Stefanos Georganos, Taïs Grippa

المصدر: Remote Sensing, 11 (5
Remote Sensing; Volume 11; Issue 5; Pages: 597
Remote Sensing, Vol 11, Iss 5, p 597 (2019)

مصطلحات موضوعية: 010504 meteorology & atmospheric sciences, Computer science, Pipeline (computing), 0211 other engineering and technologies, 02 engineering and technology, 01 natural sciences, Convolutional neural network, Geographical object-based image analysis, Very high resolution, Image (mathematics), remote sensing, convolutional neural networks, very high resolution, fully convolutional networks, Segmentation, Fully convolutional networks, Géographie humaine, lcsh:Science, 021101 geological & geomatics engineering, 0105 earth and related environmental sciences, Landcover classification, business.industry, Deep learning, Pattern recognition, Remote sensing, geographical object-based image analysis, landcover classification, General Earth and Planetary Sciences, RGB color model, lcsh:Q, Convolutional neural networks, Artificial intelligence, Enhanced Data Rates for GSM Evolution, business, Scale (map)

وصف الملف: 1 full-text file(s): application/pdf; application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a7234dd5b3e310b395773ad74d1054a6
http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/290298

المؤلفون: Raúl de la Rosa, Ramón Alberto Díaz-Varela, Lorenzo León, Pablo J. Zarco-Tejada

المساهمون: Universidade de Santiago de Compostela. Departamento de Botánica, Consejo Superior de Investigaciones Científicas (España), European Commission, Xunta de Galicia, Ministerio de Economía y Competitividad (España), CSIC - Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), Instituto de Investigación y Formación Agraria y Pesquera (España), Universidad de Córdoba (España)

المصدر: Remote Sensing, Vol 7, Iss 4, Pp 4213-4232 (2015)
Minerva: Repositorio Institucional de la Universidad de Santiago de Compostela
Universidad de Santiago de Compostela (USC)
Digital.CSIC. Repositorio Institucional del CSIC
instname
Minerva. Repositorio Institucional de la Universidad de Santiago de Compostela
Remote Sensing; Volume 7; Issue 4; Pages: 4213-4232

مصطلحات موضوعية: Mean squared error, tree crown architecture, Digital surface model, Science, Iterative reconstruction, 3D image modeling, Geographical object-based image analysis, Very high-resolution imagery, unmanned aerial vehicle (UAV), very high-resolution imagery, consumer-grade camera, Consumer-grade camera, Olive phenotyping, Selection (genetic algorithm), Remote sensing, Crown (botany), Hyperspectral imaging, Tree crown architecture, geographical object-based image analysis, Tree (data structure), olive phenotyping, 3D image modelling, digital surface model, Unmanned aerial vehicle (UAV), General Earth and Planetary Sciences, Tree breeding, Environmental science, Cropping

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f0050b3251a502553038840cda5435ae
http://www.mdpi.com/2072-4292/7/4/4213

المؤلفون: Díaz-Varela, Ramón A., Rosa, Raúl de la, León, Lorenzo, Zarco-Tejada, Pablo J.

المساهمون: Consejo Superior de Investigaciones Científicas (España), European Commission, Xunta de Galicia, Ministerio de Economía y Competitividad (España), Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (España), Instituto de Investigación y Formación Agraria y Pesquera (España), Universidad de Córdoba (España)

مصطلحات موضوعية: Very high-resolution imagery, Geographical object-based image analysis, Digital surface model, Consumer-grade camera, Unmanned aerial vehicle (UAV), Olive phenotyping, Tree crown architecture, 3D image modelling, geo, envir

Relation: http://hdl.handle.net/10261/137591

الاتاحة: http://hdl.handle.net/10261/137591

المؤلفون: Universidade de Santiago de Compostela. Departamento de Botánica, Díaz Varela, Ramón Alberto, Rosa, Raúl de la, León, Lorenzo, Zarco Tejada, Pablo J.

مصطلحات الفهرس: Unmanned aerial vehicle (UAV), Olive phenotyping, Tree crown architecture, 3D image modelling, Consumer-grade camera, Very high-resolution imagery, Digital surface model, Geographical object-based image analysis, journal article

URL: http://hdl.handle.net/10347/23050
https://doi.org/10.3390/rs70404213
https://doi.org/10.3390/rs70404213

المؤلفون: Consejo Superior de Investigaciones Científicas (España), European Commission, Xunta de Galicia, Ministerio de Economía y Competitividad (España), CSIC - Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), Instituto de Investigación y Formación Agraria y Pesquera (España), Universidad de Córdoba (España), Díaz-Varela, Ramón A., de la Rosa, Raúl, León, Lorenzo, Zarco-Tejada, Pablo J.

مصطلحات الفهرس: Very high-resolution imagery, Geographical object-based image analysis, Digital surface model, Consumer-grade camera, Unmanned aerial vehicles, Olive phenotyping, Tree crown architecture, 3D image modeling, artículo

URL: http://hdl.handle.net/10261/137591
Publisher's version
http://dx.doi.org/10.3390/rs70404213
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