المؤلفون: Qinhuo Liu, Rongshuang Fan, Qihao Weng, Yang Chen, Luliang Tang

المصدر: IEEE Geoscience and Remote Sensing Letters. 19:1-5

مصطلحات موضوعية: Geospatial analysis, Artificial neural network, Computer science, business.industry, Deep learning, Feature extraction, Cloud computing, Geotechnical Engineering and Engineering Geology, computer.software_genre, Snow, Remote sensing (archaeology), Preprocessor, Artificial intelligence, Electrical and Electronic Engineering, business, computer, Astrophysics::Galaxy Astrophysics, Remote sensing

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::69e776db7bca01db8b1f89e8b69c1467
https://doi.org/10.1109/lgrs.2021.3102970

المؤلفون: Hongye Cao, Zhiheng Liu, Liangzhi Li, Mingtao Ding, Ling Han

المصدر: IEEE Geoscience and Remote Sensing Letters. 19:1-5

مصطلحات موضوعية: business.industry, Computer science, Deep learning, Feature extraction, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, 0211 other engineering and technologies, Image registration, Scale-invariant feature transform, 02 engineering and technology, Geotechnical Engineering and Engineering Geology, Displacement (vector), Image (mathematics), Computer Science::Computer Vision and Pattern Recognition, Artificial intelligence, Electrical and Electronic Engineering, business, 021101 geological & geomatics engineering, Orb (optics), Remote sensing, Block (data storage)

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::16cd852c68a83f01c16e8b7bfee46b07
https://doi.org/10.1109/lgrs.2020.3032439

المؤلفون: Wenchao Kang, Hongjian You, Feng Wang, Yuming Xiang

المصدر: IEEE Geoscience and Remote Sensing Letters. 19:1-5

مصطلحات موضوعية: Computer science, business.industry, Deep learning, Pooling, Feature extraction, Land cover, Geotechnical Engineering and Engineering Geology, RGB color model, Artificial intelligence, Pyramid (image processing), Electrical and Electronic Engineering, Scale (map), business, Encoder, Remote sensing

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::7b0b1da08361e6ba906b2e5836ad57de
https://doi.org/10.1109/lgrs.2021.3114305

المؤلفون: Yanyou Qiao, Hao Xia, Chunyang Wei

المصدر: IEEE Geoscience and Remote Sensing Letters. 18:1731-1735

مصطلحات موضوعية: Matching (statistics), Similarity (geometry), Remote sensing application, Computer science, business.industry, Feature extraction, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Sorting, Geotechnical Engineering and Engineering Geology, Image (mathematics), Feature (computer vision), Pairwise comparison, Computer vision, Artificial intelligence, Electrical and Electronic Engineering, business

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::f7b98f0b9429699ca9313f5d16393fcd
https://doi.org/10.1109/lgrs.2020.3008400

المؤلفون: Ruizhi Ren, Lingjia Gu, Yuhan Wang, Xiaofeng Li

المصدر: IEEE Geoscience and Remote Sensing Letters. 18:1645-1649

مصطلحات موضوعية: Pixel, Computer science, business.industry, Deep learning, Feature extraction, 0211 other engineering and technologies, Pattern recognition, 02 engineering and technology, Image segmentation, Geotechnical Engineering and Engineering Geology, Data set, Remote sensing (archaeology), Satellite imagery, Artificial intelligence, Electrical and Electronic Engineering, business, 021101 geological & geomatics engineering

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::1ca8ffb5cc806c9f6ce01391d7d3c722
https://doi.org/10.1109/lgrs.2020.3005018

المؤلفون: Gui Wang, Xiaoxue Jia, Rong Yang, Zhenru Pan, Hongliang Lu, Heng Zhang

المصدر: IEEE Geoscience and Remote Sensing Letters. 18:1401-1405

مصطلحات موضوعية: Synthetic aperture radar, business.industry, Remote sensing application, Computer science, Feature extraction, Detector, 0211 other engineering and technologies, Pattern recognition, 02 engineering and technology, Image segmentation, Geotechnical Engineering and Engineering Geology, Convolutional neural network, Constant false alarm rate, Minimum bounding box, Artificial intelligence, False alarm, Electrical and Electronic Engineering, business, 021101 geological & geomatics engineering

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::30dbae560ee33708359b5e8fb3d65ca8
https://doi.org/10.1109/lgrs.2020.2999506

المؤلفون: Qi Wang, Xuelong Li, Wei Huang

المصدر: IEEE Geoscience and Remote Sensing Letters. 18:436-440

مصطلحات موضوعية: Closed captioning, Computer science, business.industry, Deep learning, Noise reduction, Feature extraction, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, 0211 other engineering and technologies, 02 engineering and technology, Geotechnical Engineering and Engineering Geology, Field (computer science), Visualization, Feature (computer vision), Artificial intelligence, Electrical and Electronic Engineering, business, Representation (mathematics), 021101 geological & geomatics engineering, Remote sensing

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::ceaacbee06060fd0d18c02e7fee74096
https://doi.org/10.1109/lgrs.2020.2980933

المؤلفون: Ran Cao, Ting Lu, Leyuan Fang, Nanjun He

المصدر: IEEE Geoscience and Remote Sensing Letters. 18:43-47

مصطلحات موضوعية: Computer science, business.industry, Deep learning, Feature extraction, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Geotechnical Engineering and Engineering Geology, Convolutional neural network, Visualization, Support vector machine, Discriminative model, Feature (computer vision), Artificial intelligence, Electrical and Electronic Engineering, business, Aerial image, Remote sensing

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::3acd78bb43e538135605e68f7a70fe53
https://doi.org/10.1109/lgrs.2020.2968550

المؤلفون: Ricardo da Silva Torres, Guerric Le Maire, Rubens Augusto Camargo Lamparelli, Danielle Dias, Nathalia Menini, Ulisses Dias

المساهمون: University of Campinas [Campinas] (UNICAMP), Universidade Estadual de Campinas (UNICAMP), Ecologie fonctionnelle et biogéochimie des sols et des agro-écosystèmes (UMR Eco&Sols), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Département Performances des systèmes de production et de transformation tropicaux (Cirad-PERSYST), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Norwegian University of Science and Technology [Gjøvik] (NTNU), Norwegian University of Science and Technology (NTNU)

المصدر: IEEE Geoscience and Remote Sensing Letters
IEEE Geoscience and Remote Sensing Letters, IEEE-Institute of Electrical and Electronics Engineers, 2020, 17 (8), pp.1450-1454. ⟨10.1109/LGRS.2019.2946951⟩

مصطلحات موضوعية: Télédétection, Computer science, Plantations, Feature extraction, 0211 other engineering and technologies, Time series analysis, Imagerie par satellite, 02 engineering and technology, [SDV.SA.SF]Life Sciences [q-bio]/Agricultural sciences/Silviculture, forestry, K01 - Foresterie - Considérations générales, image representation, Electrical and Electronic Engineering, Time series, 021101 geological & geomatics engineering, Gramian matrix, Vegetation mapping, Eucalyptus, pixelwise image classification, Series (mathematics), Contextual image classification, U10 - Informatique, mathématiques et statistiques, business.industry, Deep learning, Image coding, Pattern recognition, Remote sensing, Classification, Geotechnical Engineering and Engineering Geology, Feature (computer vision), Task analysis, Artificial intelligence, time series, U30 - Méthodes de recherche, business, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Analyse de séries chronologiques, Analyse d'image

وصف الملف: text

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::84bd86c699944a05deb5816cc51b7852
https://doi.org/10.1109/lgrs.2019.2946951

المؤلفون: Xin Ye, Mengkun Du, Qiming Qin, Juan Sui, Jian Hui

المصدر: IEEE Geoscience and Remote Sensing Letters. 16:786-790

مصطلحات موضوعية: Network architecture, Artificial neural network, Computer science, business.industry, Deep learning, Feature extraction, 0211 other engineering and technologies, Multi-task learning, 02 engineering and technology, Geotechnical Engineering and Engineering Geology, Data set, Remote sensing (archaeology), Artificial intelligence, Electrical and Electronic Engineering, business, 021101 geological & geomatics engineering, Remote sensing

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::dc44a18716ab219bcceeaf1913c766b7
https://doi.org/10.1109/lgrs.2018.2880986