Neural network and local laplace filter methods applied to very high resolution remote sensing imagery in urban damage detection

Research article (2017 IEEE International Young Scientists Forum on Applied Physics and Engineering (YSF), 2017) · cited 18× · AI/ML
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Neural network and local laplace filter methods applied to very high resolution remote sensing imagery in urban damage detection

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Neural network and local laplace filter methods applied to very high resolution remote sensing imagery in urban damage detection is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Neural network and local laplace filter methods applied to very high resolution remote sensing imagery in urban damage detection. Retrieved May 24, 2026, from https://4ort.xyz/entity/neural-network-and-local-laplace-filter-methods-applied-to-very-high-resolution-remote-sensing-imagery-in-urban-damage-d
MLA “Neural network and local laplace filter methods applied to very high resolution remote sensing imagery in urban damage detection.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/neural-network-and-local-laplace-filter-methods-applied-to-very-high-resolution-remote-sensing-imagery-in-urban-damage-d.
BibTeX @misc{4ortxyz_neural-network-and-local-laplace-filter-methods-applied-to-very-high-resolution-remote-sensing-imagery-in-urban-damage-d_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Neural network and local laplace filter methods applied to very high resolution remote sensing imagery in urban damage detection}}, year = {2026}, url = {https://4ort.xyz/entity/neural-network-and-local-laplace-filter-methods-applied-to-very-high-resolution-remote-sensing-imagery-in-urban-damage-d}, note = {Accessed: 2026-05-24}}
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