Remote sensing image reconstruction method and device cooperating with space channel attention and dynamic frequency domain multi-scale fusion
Through the remote sensing image reconstruction method that integrates the attention of the space channel and the dynamic frequency domain multi-scale fusion, the data loss problem caused by cloud occlusion in Sentinel-2 images is solved, and high-precision image reconstruction and resolution improvement are achieved, meeting the needs of agricultural and ecological monitoring.
Patent Information
- Application Number
- CN202510463260.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-14
- Publication Date
- 2025-07-18
- Estimated Expiration
- 2045-04-14
AI Technical Summary
The prior art is difficult to effectively fill the lack of Sentinel-2 image data caused by cloud occlusion and other factors, especially in the key growth stage in the agricultural field, which affects continuous time series monitoring, and heterologous image fusion has problems with acquisition geometry, spectral characteristics and spatial resolution differences.
The remote sensing image reconstruction method that integrates the attention and dynamic frequency domain multi-scale fusion of collaborative spatial channel attention and multi-scale fusion of dynamic frequency domains is adopted. By constructing a training model, the time embedding layer, multi-scale convolution module, enhanced attention module and upsampling module of Landsat-8 images and Sentinel-2 images are used to reconstruct Sentinel-2 images, especially the red edge band, taking into account dynamic changes in the surface and spatial heterogeneity.
High-precision reconstruction of Sentinel-2 images is realized, which fills in data loss, improves the complete timing and resolution of the images, and provides more accurate data support, especially in the fields of agricultural and ecological monitoring.