A New Framework for Automatic Airports Extraction from SAR Images Using Multi-Level Dual Attention Mechanism

The detection of airports from Synthetic Aperture Radar (SAR) images is of great significance in various research fields. However, it is challenging to distinguish the airport from surrounding objects in SAR images. In this paper, a new framework, multi-level and densely dual attention (MDDA) networ...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:Remote Sensing
المؤلفون الرئيسيون: Lifu Chen, Siyu Tan, Zhouhao Pan, Jin Xing, Zhihui Yuan, Xuemin Xing, Peng Zhang
التنسيق: مقال
اللغة:الإنجليزية
منشور في: MDPI AG 2020-02-01
الموضوعات:
deep learning
airport extraction
deep neural network
dense connection
attention mechanism
synthetic aperture radar
الوصول للمادة أونلاين:https://www.mdpi.com/2072-4292/12/3/560

الانترنت

https://www.mdpi.com/2072-4292/12/3/560

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