Multi-Scale Feature Map Aggregation and Supervised Domain Adaptation of Fully Convolutional Networks for Urban Building Footprint Extraction

Automated building footprint extraction requires the Deep Learning (DL)-based semantic segmentation of high-resolution Earth observation images. Fully convolutional networks (FCNs) such as U-Net and ResUNET are widely used for such segmentation. The evolving FCNs suffer from the inadequate use of mu...

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التفاصيل البيبلوغرافية

الحاوية / القاعدة:	Remote Sensing
المؤلفون الرئيسيون:	Jagannath Aryal, Bipul Neupane
التنسيق:	مقال
اللغة:	الإنجليزية
منشور في:	MDPI AG 2023-01-01
الموضوعات:	deep learning building footprint extraction multi-scale feature aggregation supervised domain adaptation U-Net ResUNET
الوصول للمادة أونلاين:	https://www.mdpi.com/2072-4292/15/2/488