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Found 4 papers, 4 papers with code
Spatial Gated Multi-Layer Perceptron for Land Use and Land Cover Mapping
Results illustrated the superiority of the developed SGU-MLP classification algorithm over several CNN and CNN-ViT-based models, including HybridSN, ResNet, iFormer, EfficientFormer and CoAtNet.
SoilNet: An Attention-based Spatio-temporal Deep Learning Framework for Soil Organic Carbon Prediction with Digital Soil Mapping in Europe
Digital soil mapping (DSM) is an advanced approach that integrates statistical modeling and cutting-edge technologies, including machine learning (ML) methods, to accurately depict soil properties and their spatial distribution.
Neighborhood Attention Makes the Encoder of ResUNet Stronger for Accurate Road Extraction
In the domain of remote sensing image interpretation, road extraction from high-resolution aerial imagery has already been a hot research topic.
Local Window Attention Transformer for Polarimetric SAR Image Classification
The PolSARFormer outperformed the Swin Transformer and FNet by the margin of 5. 86% and 17. 63%, in terms of average accuracy in the San Francisco data benchmark.
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