In this research, we apply a GAN-based model for SAR to optical image translation over fire-disturbed regions.

by using Generative Adversarial Networks (GAN). In this research, we apply a GAN-based model for SAR to optical image translation over fire-disturbed regions.

Jun 29, 2024 · To improve the interpretation of SAR images, a SAR-to-optical image translation method based on a modified conditional generation adversarial ..

Missing: Disturbed | Show results with:Disturbed

To overcome this limitation, in this work, GAN is conducted to generate the pseudo optical images from the SAR images over fire-disturbed areas. The main ...

To overcome this challenge, the complementary use of optical and Synthetic Aperture Radar (SAR) data is beneficial, as SAR can penetrate clouds and capture.

May 10, 2022 · In this study, we aim to exploit multi-source data for wildfire mapping and assessment by transforming SAR and optical data into a common domain ...

The Cycle-GAN uses a cyclic structure to transfer data from one domain (optical) to another domain (SAR) into the same feature space. As a result, it can ...

May 12, 2023 · Additionally, the wavelet decomposition (WD) branch is designed to decrease the speckle noise in SAR images and recover high-frequency details.

Missing: Fire- Disturbed Regions.