Joint Frequency-Spatial Domain Network for Remote Sensing Optical Image Change Detection

Author:

Zhou Yuan1ORCID,Feng Yanjie1ORCID,Huo Shuwei1ORCID,Li Xiaofeng2ORCID

Affiliation:

1. School of Electrical and Information Engineering, Tianjin University, Tianjin, China

2. Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China

Funder

Marine S&T Fund of Shandong Province for Pilot National Laboratory for Marine Science and Technology

National Natural Science Foundation of China

National Key Research and Development Program of China

Major Projects of the National Natural Science Foundation of China

Chinese Academy of Science Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Reference58 articles.

1. Very deep convolutional networks for large-scale image recognition;simonyan;arXiv 1409 1556,2015

2. Change Detection Based on Deep Siamese Convolutional Network for Optical Aerial Images

3. Fully convolutional Siamese networks for change detection;daudt;Proc 25th IEEE Int Conf Image Process (ICIP),2018

4. A Spatial-Temporal Attention-Based Method and a New Dataset for Remote Sensing Image Change Detection

5. A Deeply Supervised Attention Metric-Based Network and an Open Aerial Image Dataset for Remote Sensing Change Detection

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