Exchange means change: An unsupervised single-temporal change detection framework based on intra- and inter-image patch exchange-Reference-Cited by-同舟云学术

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Exchange means change: An unsupervised single-temporal change detection framework based on intra- and inter-image patch exchange

Published:2023-12 Issue: Volume:206 Page:87-105
ISSN:0924-2716
Container-title:ISPRS Journal of Photogrammetry and Remote Sensing
language:en
Short-container-title:ISPRS Journal of Photogrammetry and Remote Sensing

Author:

Chen Hongruixuan^ORCID,Song Jian^ORCID,Wu Chen,Du Bo,Yokoya Naoto

Funder

Japan Science and Technology Agency

University of Tokyo

Microsoft Research

Fusion Oriented REsearch for disruptive Science and Technology

Japan Society for the Promotion of Science

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Computer Science Applications,Engineering (miscellaneous),Atomic and Molecular Physics, and Optics

Reference71 articles.

1. SLIC superpixels compared to state-of-the-art superpixel methods;Achanta;IEEE Trans. Pattern Anal. Mach. Intell.,2012

2. Bandara, W.G.C., Patel, V.M., 2022. A Transformer-Based Siamese Network for Change Detection. In: IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. pp. 207–210.

3. Unsupervised change detection using convolutional-autoencoder multiresolution features;Bergamasco;IEEE Trans. Geosci. Remote Sens.,2022

4. A theoretical framework for unsupervised change detection based on change vector analysis in the polar domain;Bovolo;IEEE Trans. Geosci. Remote Sens.,2007

5. A novel approach to unsupervised change detection based on a semisupervised SVM and a similarity measure;Bovolo;IEEE Trans. Geosci. Remote Sens.,2008

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4. HSAA-CD: A Hierarchical Semantic Aggregation Mechanism and Attention Module for Non-Agricultural Change Detection in Cultivated Land;Remote Sensing;2024-04-13

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