MSCDUNet: A Deep Learning Framework for Built-Up Area Change Detection Integrating Multispectral, SAR, and VHR Data

MSCDUNet: A Deep Learning Framework for Built-Up Area Change Detection Integrating Multispectral, SAR, and VHR Data

Built-up area change detection (CD) plays an important role in city management, which always uses very high spatial resolution (VHR) remote sensing data to extract refined spatial information. Recently, many CD models based on deep learning with VHR data have been proposed. However, due to the compl...

Full description

Bibliographic Details
Main Authors: Haoyang Li, Fangjie Zhu, Xiaoyu Zheng, Mengxi Liu, Guangzhao Chen
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Benchmark dataset
built-up
change detection (CD)
deep learning (DL)
multispectral data fusion
very high resolution (VHR)
Online Access:https://ieeexplore.ieee.org/document/9791854/

Internet

https://ieeexplore.ieee.org/document/9791854/

Similar Items