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SCAT: Shift Channel Attention Transformer for Remote Sensing Image Super-Resolution
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2902
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Hankel Tensor Subspace Representation for Remotely Sensed Image Fusion
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2904
DE-Unet: Dual-Encoder U-Net for Ultra-High Resolution Remote Sensing Image Segmentation
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2905
CSTFNet: A CNN and Dual Swin-Transformer Fusion Network for Remote Sensing Hyperspectral Data Fusion and Classification of Coastal Areas
Published 2025-01-01“…In recent years, the convolutional neural network (CNN) framework and transformer models have demonstrated strong performance in HSI classification, especially in applications requiring precise change detection and analysis. However, due to the high dimensionality of HSI data and the complexity of spectral-spatial feature extraction, achieving accurate results in coastal areas remains challenging. …”
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Fast Adaptive Sparse Iterative Reweighted Super-Resolution Method for Forward-Looking Radar Imaging
Published 2024-01-01“…However, this method suffers from poor adaptability and high computational complexity due to its noise-sensitive user-parameter and the necessity for high-dimensional matrix inversion. …”
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Extraction of Raft Aquaculture in SDGSAT-1 Images via Shape Prior Segmentation Network
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2910
DSMF-Net: Dual Semantic Metric Learning Fusion Network for Few-Shot Aerial Image Semantic Segmentation
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2911
FloodNet-Lite: A Lightweight Deep Learning for Flood Mapping Using Remote Sensing Data With Optimized UNet and Edge Deployment Approach in 6G
Published 2025-01-01“…However, existing deep-learning (DL) models often face challenges related to computational complexity, latency, and limited scalability in dynamic and resource-constrained environments. …”
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2912
A Phase Error Compensation Method for High-Rise Targets in High-Resolution SAR Images
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2913
SGCM: Semantic and Geometric Consistency for Robust Aerial Image Matching
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2914
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2915
Ground-Independent UAV Quantitative Mapping and In Situ Experimental Validation for Coral Reef Habitats
Published 2025-01-01“…Optically shallow waters, which host ecosystems like coral reefs, are characterized by complex radiative transfer pathways. Surface reflectance derived from remote sensing in optically shallow waters is influenced by water depth, water quality, and bottom reflectance. …”
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CFFormer: Channel Fourier Transformer for Remote Sensing Super Resolution
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