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المؤلفون: Huiyu Zhou, Fei Gao, Amir Hussain, Jinping Sun, Fei Ma
المصدر: Remote Sensing; Volume 11; Issue 21; Pages: 2586
Remote Sensing, Vol 11, Iss 21, p 2586 (2019)مصطلحات موضوعية: Synthetic aperture radar, Computer science, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, 0211 other engineering and technologies, 02 engineering and technology, Convolutional neural network, Convolution, neighbourhood consistency, big data, Graph Convolution Network (GCN), 0202 electrical engineering, electronic engineering, information engineering, Segmentation, lcsh:Science, Neighbourhood (mathematics), 021101 geological & geomatics engineering, Synthetic Aperture Radar (SAR), business.industry, Deep learning, segmentation, Pattern recognition, Image segmentation, attention mechanism, Graph, Computer Science::Computer Vision and Pattern Recognition, General Earth and Planetary Sciences, Graph (abstract data type), lcsh:Q, 020201 artificial intelligence & image processing, Artificial intelligence, business
وصف الملف: PDF; application/pdf
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c7faac90f959d3fb1fcd5459fe0820bbTest
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المؤلفون: Haiyang Wang, Jinping Sun, Zhiqiang Zeng, Congan Xu
المصدر: Remote Sensing
Volume 13
Issue 15
Pages: 2901
Remote Sensing, Vol 13, Iss 2901, p 2901 (2021)مصطلحات موضوعية: Synthetic aperture radar, Kullback–Leibler divergence, Computer science, Science, Feature vector, Feature extraction, 0211 other engineering and technologies, automatic target recognition, 02 engineering and technology, Automatic target recognition, 0203 mechanical engineering, 021101 geological & geomatics engineering, 020301 aerospace & aeronautics, business.industry, Deep learning, Dimensionality reduction, fungi, deep learning, Pattern recognition, relative position angle, Identification (information), General Earth and Planetary Sciences, Artificial intelligence, business, synthetic aperture radar
وصف الملف: application/pdf
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ff69e02a1e7cb213b06d89e1b15f976Test
https://doi.org/10.3390/rs13152901Test