Deep building footprint update network: A semi-supervised method for updating existing building footprint from bi-temporal remote sensing images

Haonan Guo; Qian Shi; Andrea Marinoni; Bo Du; Liangpei Zhang

doi:10.1016/j.rse.2021.112589

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Deep building footprint update network: A semi-supervised method for updating existing building footprint from bi-temporal remote sensing images

Haonan Guo Qian Shi Andrea Marinoni Bo Du Liangpei Zhang

Year: 2021 Journal: Remote Sensing of Environment Vol: 264 Pages: 112589-112589 Publisher: Elsevier BV

DOI: 10.1016/j.rse.2021.112589

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Keywords:

Footprint Computer science Process (computing) Deep learning Enhanced Data Rates for GSM Evolution Data mining Remote sensing Artificial intelligence Geography

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Topics

Remote-Sensing Image Classification

Physical Sciences → Engineering → Media Technology

Land Use and Ecosystem Services

Physical Sciences → Environmental Science → Global and Planetary Change

Automated Road and Building Extraction

Physical Sciences → Engineering → Ocean Engineering

Deep building footprint update network: A semi-supervised method for updating existing building footprint from bi-temporal remote sensing images

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Citation History

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