Combining images from Landsat 8 and Sentinel-2 can improve the accuracy of observing dynamic changes on the Earth's surface. Many researchers use Sentinel-2 10 ...
Jun 18, 2024 · Many researchers use Sentinel-2 10 m resolution data in conjunction with Landsat 8 30 m resolution data to generate 10 m resolution data series.
Combining images from Landsat 8 and Sentinel-2 can improve the accuracy of observing dynamic changes on the Earth's surface. Many researchers use Sentinel-2 10 ...
Combining images from Landsat 8 and Sentinel-2 can improve the accuracy of observing dynamic changes on the Earth's surface. Many researchers use Sentinel-2 10 ...
A novel deep network is proposed for Landsat 8 and Sentinel-2 data fusion. Residual dense blocks and attention modules are combined to extract features.
Shao et al. [23] used a convolutional neural network (CNN) to predict 10 m L8 images with the help of S2 data during training, while Pham and Bui [27] used a ...
Deep Learning-Based Spatiotemporal Fusion Architecture of Landsat 8 and Sentinel-2 Data for 10 m Series Imagery. Remote Sens. 2024, 16, 1033. https://doi ...
Dec 15, 2019 · A multiscale and attention mechanism-based residual spatiotemporal fusion network (MARSTFN) that utilizes Sentinel-2 10 m resolution data ...
People also ask
What is the difference between Sentinel-2 and Landsat 8?
What is the difference between Landsat 8 and Modis?
What is Landsat 8's temporal resolution?
In this paper, based on deep learning, we proposed a residual convolutional neural network (Res-CNN) model to improve the fusion result considerably with brand ...
Deep Learning-Based Spatiotemporal Fusion Architecture of Landsat 8 and Sentinel-2 Data for 10 m Series Imagery · A transferable approach to assessing green ...