SAR image change detection based on sparse representation and a capsule network-Reference-Cited by-同舟云学术

SAR image change detection based on sparse representation and a capsule network

Published:2021-07-05 Issue:9 Volume:12 Page:890-899
ISSN:2150-704X
Container-title:Remote Sensing Letters
language:en
Short-container-title:Remote Sensing Letters

Author:

Wang Shaona¹^ORCID,Wang Yanan¹^ORCID,Liu Yang¹,Li Linlin¹

Affiliation:

1. Tianjin Key Laboratory of Optoelectronic Detection Technology and Systems, School of Electrical and Electronic Engineering, Tiangong University, Tianjin, China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Earth and Planetary Sciences (miscellaneous)

Link

https://www.tandfonline.com/doi/pdf/10.1080/2150704X.2021.1946199

Reference21 articles.

1. $rm K$-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation

2. Unsupervised Change Detection in Satellite Images Using Principal Component Analysis and $k$-Means Clustering

3. A Convolutional Neural Network with Parallel Multi-Scale Spatial Pooling to Detect Temporal Changes in SAR Images

4. Change detection from synthetic aperture radar images based on neighborhood-based ratio and extreme learning machine

5. Sea Ice Change Detection in SAR Images Based on Convolutional-Wavelet Neural Networks

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