研究论文

Mbda-net: a building damage assessment model based on a multi-scale fusion network

Yandong Hou, Kaiwen Liu, Xiaodong Zhai, Zhengquan Chen

Henan University

来源Signal Image and Video Processing

年份2024

DOI10.1007/s11760-024-03551-0

原文https://doi.org/10.1007/s11760-024-03551-0

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逐年被引趋势

530

525

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被引次数 · OpenAlex

1.01

领域内被引倍数
同类平均 = 1

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学术脉络

学科主题

工程

Remote-Sensing Image Classification

Infrastructure Maintenance and Monitoring · Automated Road and Building Extraction

参考文献 44

DenseNet: Implementing Efficient ConvNet Descriptor Pyramids

Forrest Iandola, Matthew W. Moskewicz, Sergey Karayev · arXiv (Cornell University) · 2014

被引 664

U-Net: Convolutional Networks for Biomedical Image Segmentation

Olaf Ronneberger, Philipp Fischer, Thomas Brox · Lecture notes in computer science · 2015

被引 99,143

Fully convolutional networks for semantic segmentation

Jonathan Long, Evan Shelhamer, Trevor Jackson Darrell · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 2015

被引 38,793

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引用本文 6

Post-disaster building damage assessment based on gated adaptive multi-scale spatial-frequency fusion network

Bo Yu, Yao Sun, Jiansong Hu · International Journal of Applied Earth Observation and Geoinformation · 2025

被引 8

A Decoupled Segmentation-Classification Strategy Based on Semantic-SAM for Precise Semantic Segmentation in Coal Mine Areas

Libing Wang, Jihong Dong, Lei Wang · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · 2025