An improved architecture for urban building extraction based on depthwise separable convolution

Accurate extraction of urban buildings is a key problem in urban remote sensing image processing. It can be applied to many kinds of urban problems, such as data statistics of urban management and smart cities. In recent years, the deep learning model based on convolutional neural network is widely...

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Veröffentlicht in:	Journal of intelligent & fuzzy systems 2020-01, Vol.38 (5), p.5821-5829
Hauptverfasser:	Zhang, Xiaoqing, Zheng, Yongguo, Liu, Weike, Peng, Yanjun, Wang, Zhiyong
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Computer architecture Convolution Detection Image processing Image segmentation Machine learning Neural networks Optimization Remote sensing Target recognition
Online-Zugang:	Volltext
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