Deep Learning based Ship Detection in Satellite Imagery
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Updated
Jan 15, 2024 - Jupyter Notebook
Deep Learning based Ship Detection in Satellite Imagery
TIPE MPSI/MP* 2018-2020
Homeworks for the course Earth Observation Data Analysis, 2020, Sapienza University of Rome
Taiwan SAR Ship and Weather Dataset
[TGRS 2023] An official implementation of Multitype Feature Perception and Refined Network for Spaceborne Infrared Ship Detection
Robust CFAR detector based on censored harmonic averaging
Project on the implementation of deep-learning models for ship detection on SAR images.
accelerate ship detection with GPU/CUDA SAR Image Processing
The official implementation of DRENet (Degraded Reconstruction Enhancement Network) for tiny ship detection in remote sensing Images
YOLOv5-ODConvNeXt is an improved version of YOLOv5 for ship detection on drone-captured images.
✨✨ 🛰️ Official repository of paper on improved two-parameter CFAR algorithm based on Rayleigh distribution and Mathematical Morphology for SAR ship detection. ✨✨
This is the official release of LEVIR-Ship, which is a dataset for tiny ship detection under medium-resolution remote sensing images
Maritime vessel detection from remote sensing SAR data, based on the architectures of the Faster-RCNN and YOLOv5 networks.
A list of radar and optical satellite datasets for ship detection, classification, semantic segmentation and instance segmentation tasks.
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