ADMNet: adaptive deformable convolution large model combining multi-level progressive fusion for Building Change Detection

ADMNet: adaptive deformable convolution large model combining multi-level progressive fusion for Building Change Detection

Building Change Detection (BCD) based on high-resolution Remote Sensing Images (RSI) simplifies urban surface monitoring. Nevertheless, the mainstream detection methods utilizing traditional convolution and attention mechanisms are often prone to errors due to the loss of edge detail information and...

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Bibliographic Details
Main Authors: Liye Mei, Haonan Yu, Zhaoyi Ye, Chuan Xu, Cheng Lei, Wei Yang
Format: Article
Language:English
Published: Taylor & Francis Group 2025-01-01
Series:Geo-spatial Information Science
Subjects:
Adaptive deformable convolution (ADC)
feature fusion
large model
Building Change Detection
Online Access:https://www.tandfonline.com/doi/10.1080/10095020.2024.2448232

Internet

https://www.tandfonline.com/doi/10.1080/10095020.2024.2448232

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