Building footprint extraction and counting on very high-resolution satellite imagery using object detection deep learning framework

Wahidya Nurkarim; Arie Wahyu Wijayanto

doi:10.1007/s12145-022-00895-4

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Building footprint extraction and counting on very high-resolution satellite imagery using object detection deep learning framework

Wahidya Nurkarim Arie Wahyu Wijayanto

Year: 2022 Journal: Earth Science Informatics Vol: 16 (1)Pages: 515-532 Publisher: Springer Science+Business Media

DOI: 10.1007/s12145-022-00895-4

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Keywords:

Computer science Deep learning Convolutional neural network Artificial intelligence Footprint Satellite imagery Shadow (psychology) Segmentation Remote sensing Object detection Satellite Population Computer vision Pattern recognition (psychology) Data mining Geography

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Remote-Sensing Image Classification

Physical Sciences → Engineering → Media Technology

Automated Road and Building Extraction

Physical Sciences → Engineering → Ocean Engineering

Impact of Light on Environment and Health

Physical Sciences → Environmental Science → Global and Planetary Change

Building footprint extraction and counting on very high-resolution satellite imagery using object detection deep learning framework

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