The official implementation of P^2Net (Push-and-Pull Network) for fine-grained ship classification in remote sensing images
Deep Learning for SAR Ship classification: Focus on Unbalanced Datasets and Inter-Dataset Generalization
For this project, we will complete ship classification using the Sentinel-1 and OpenSar ship datasets with a CNN used for large scale image recognition
Modular deep-learning pipeline for SAR ship detection, three-class vessel classification, cross-dataset analysis, and metadata-style maritime reporting.
AIMGroup is marine cargo ship surveyors and consultant with expertise on class and risk managing on seaworthiness and tecnical condition.
SAR Limitations evaluator
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