Segmentation of Streets and Buildings Using U-Net from Satellite Image

Jayasurya Arasur Subramanian; Senthil Kumar Thangavel; Pasquale Caianiello

doi:10.1007/978-981-19-2177-3_80

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Segmentation of Streets and Buildings Using U-Net from Satellite Image

Jayasurya Arasur Subramanian Senthil Kumar Thangavel Pasquale Caianiello

Year: 2022 Lecture notes in electrical engineering Pages: 859-868 Publisher: Springer Science+Business Media

DOI: 10.1007/978-981-19-2177-3_80

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Keywords:

Segmentation Benchmark (surveying) Government (linguistics) Computer science Architecture Identification (biology) Convolutional neural network Scale (ratio) Image (mathematics) Artificial neural network Convolution (computer science) Artificial intelligence Transport engineering Data mining Engineering Geography Cartography

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Topics

Automated Road and Building Extraction

Physical Sciences → Engineering → Ocean Engineering

Remote-Sensing Image Classification

Physical Sciences → Engineering → Media Technology

Remote Sensing and LiDAR Applications

Physical Sciences → Environmental Science → Environmental Engineering

Segmentation of Streets and Buildings Using U-Net from Satellite Image

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