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A survey on deep learning based time series analysis with frequency transformation
K Yi, Q Zhang, L Cao, S Wang, G Long, L Hu… - ar** considering landslide local-global features based on CNN and transformer
Landslide susceptibility map** (LSM) is a crucial step in quantitatively assessing landslide
risk, essential for geologic hazards prevention. With the rapid development of deep learning …
risk, essential for geologic hazards prevention. With the rapid development of deep learning …
[HTML][HTML] Semi-supervised cross-domain feature fusion classification network for coastal wetland classification with hyperspectral and LiDAR data
F Guo, Z Li, Q Meng, G Ren, L Wang, J Wang… - International Journal of …, 2023 - Elsevier
Multi-source remote sensing monitoring plays a crucial part in the ecological protection and
restoration of coastal wetlands. However, due to the inaccessible of wetlands environment …
restoration of coastal wetlands. However, due to the inaccessible of wetlands environment …
Multiscale dual-domain guidance network for pan-sharpening
The goal of pan-sharpening is to produce a high-spatial-resolution multispectral (HRMS)
image from a low-spatial-resolution multispectral (LRMS) counterpart by super-resolving the …
image from a low-spatial-resolution multispectral (LRMS) counterpart by super-resolving the …
REMI: Few-shot ISAR target classification via robust embedding and manifold inference
Unknown image deformation and few-shot issues have posed significant challenges to
inverse synthetic aperture radar (ISAR) target classification. To achieve robust feature …
inverse synthetic aperture radar (ISAR) target classification. To achieve robust feature …