Feb 26, 2024 · In this letter, we propose a wavelet transform-based multiscale self-supervised network (WS2Net), which maximizes the utilization of pseudo- ...

Furthermore, to extract valuable information from SAR images and to improve the noise robustness of the network, we design a wavelet transform-based multiscale.

Jul 24, 2024 · Change detection in synthetic aperture radar (SAR) images is a vital application in remote sensing image processing.

Multiscale Self-Supervised SAR Image Change Detection Based on Wavelet Transform. Zong, He; ;; Zhang, Erlei; ;; Li, Xinyu; ;; Zhang, Hongming. Abstract.

TL;DR: Multiscale self-supervised SAR image change detection based on wavelet transform achieves high performance by maximizing the utilization of pseudo-labels ...

In this letter, we propose a wavelet transform-based multiscale self-supervised network (WS2Net), which maximizes the utilization of pseudo-labels and ...

Multiscale Self-Supervised SAR Image Change Detection Based on Wavelet Transform. He Zong, Erlei Zhang, Xinyu Li, Hongming Zhang 0002.

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This paper proposes a new unsupervised change detection algorithm based on deep learning, which explores the spatial and frequency domain features of SAR ...

Oct 22, 2024 · Multi-Scale Self-Supervised SAR Image Change Detection Based on Wavelet Transform. Article. Jan 2024. He Zong · Erlei Zhang · Xinyu Li ...