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1دورية أكاديمية
المصدر: Remote Sensing, Vol 13, Iss 3, p 371 (2021)
مصطلحات موضوعية: semi-supervised learning, deep learning, stack autoencoders, building detection, remote sensing, semantic segmentation, Science
وصف الملف: electronic resource
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2دورية أكاديمية
المؤلفون: Ruichuan Wang, Yanfei Wang
المصدر: Remote Sensing, Vol 11, Iss 9, p 1038 (2019)
مصطلحات موضوعية: PolSAR image classification, neural nonlocal feature extractor, virtual adversarial training, stacked sparse autoencoders, deep learning, Science
وصف الملف: electronic resource
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3دورية أكاديمية
المصدر: Remote Sensing, Vol 11, Iss 7, p 864 (2019)
مصطلحات موضوعية: autoencoders, unsupervised feature-learning, hyperspectral, deep learning, Science
وصف الملف: electronic resource
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المؤلفون: Xun Wang, Deshan Feng, Hua Zhang, Xiangyu Wang, Siyuan Ding
المصدر: Remote Sensing, Vol 13, Iss 1761, p 1761 (2021)
Remote Sensing; Volume 13; Issue 9; Pages: 1761مصطلحات موضوعية: deep convolutional denoising autoencoders with network structure optimization (CDAEsNSO), Computer science, GPR, Noise reduction, Science, 0211 other engineering and technologies, 02 engineering and technology, Overfitting, Gaussian spike impulse noise, 010502 geochemistry & geophysics, Impulse noise, 01 natural sciences, symbols.namesake, deep convolutional denoising autoencoders (CDAEs), Dropout (neural networks), 021101 geological & geomatics engineering, 0105 earth and related environmental sciences, noise attenuation, business.industry, Attenuation, Deep learning, Noise, Gaussian noise, symbols, General Earth and Planetary Sciences, Artificial intelligence, business, Algorithm
وصف الملف: application/pdf
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المؤلفون: Yanfei Wang, Ruichuan Wang
المصدر: Remote Sensing, Vol 11, Iss 9, p 1038 (2019)
Remote Sensing; Volume 11; Issue 9; Pages: 1038مصطلحات موضوعية: 010504 meteorology & atmospheric sciences, Computer science, PolSAR image classification, Science, Feature extraction, neural nonlocal feature extractor, 0211 other engineering and technologies, 02 engineering and technology, Overfitting, 01 natural sciences, virtual adversarial training, Discriminative model, 021101 geological & geomatics engineering, 0105 earth and related environmental sciences, Contextual image classification, Pixel, business.industry, Deep learning, deep learning, stacked sparse autoencoders, Speckle noise, Pattern recognition, Softmax function, General Earth and Planetary Sciences, Artificial intelligence, business
وصف الملف: application/pdf
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المصدر: Remote Sensing, Vol 11, Iss 7, p 864 (2019)
Remote Sensing; Volume 11; Issue 7; Pages: 864مصطلحات موضوعية: autoencoders, unsupervised feature-learning, hyperspectral, deep learning, Computer science, business.industry, Deep learning, Science, 0211 other engineering and technologies, Hyperspectral imaging, Pattern recognition, 02 engineering and technology, Autoencoder, Data point, Feature (computer vision), 0202 electrical engineering, electronic engineering, information engineering, General Earth and Planetary Sciences, 020201 artificial intelligence & image processing, Artificial intelligence, Cluster analysis, business, Feature learning, 021101 geological & geomatics engineering
وصف الملف: application/pdf
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7دورية أكاديمية
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8دورية أكاديمية
لا يتم عرض هذه النتيجة على الضيوف.
تسجيل الدخول للوصول الكامل. -
9دورية أكاديمية
لا يتم عرض هذه النتيجة على الضيوف.
تسجيل الدخول للوصول الكامل.