مشروع البحث: Domain Adaptation for Remote Sensing Using Deep Learning
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المساهمين
الممولين
رقم التعريف
851
الباحث
أحمد عبد العزيز عبدالله الشاملي
الوصف
In this study, different techniques based on deep neural networks (DNNs) were developed and evaluated
to solve the DA problem for remote sensing image classification in different settings. First, the single-source
DA problem was addressed by finding invariant representations for both the source and the target. Denoising
autoencoders (DAE) and domain-adversarial neural networks (DANN) were adopted to find these invariant
representations. Results showed that both techniques were able to outperform traditional approaches,
الكلمات الدالة
Domain Adaptation for Remote