High resolution representation‐based Siamese network for remote sensing image change detection-Reference-Cited by-同舟云学术

High resolution representation‐based Siamese network for remote sensing image change detection

Published:2022-04-14 Issue:9 Volume:16 Page:2506-2517
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Liang Zheng¹^ORCID,Zhu Bin¹,Zhu Yaoxuan¹

Affiliation:

1. Photoelectric Reconnaissance Information Processing Laboratory National University of Defense Technology Hefei Anhui China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/ipr2.12505

Reference40 articles.

1. Water Feature Extraction and Change Detection Using Multitemporal Landsat Imagery

2. Building change detection from multitemporal high‐resolution remotely sensed images based on a morphological building index;Huang X.;IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens.,2013

3. Building Change Detection in Multitemporal Very High Resolution SAR Images

4. A PolSAR Change Detection Index Based on Neighborhood Information for Flood Mapping

5. Classification of the wildland–urban interface: A comparison of pixel- and object-based classifications using high-resolution aerial photography

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