aalling93/probabilistic-maritime-trajectory-prediction-in-complex-scenarios-using-deep-learning

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Created almost 3 years ago
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aalling93/probabilistic-maritime-trajectory-prediction-in-complex-scenarios-using-deep-learning

aalling93

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probabilistic maritime trajectory prediction in complex scenarios using deep learning

Custom-made-SAR-speckle-reduction

Spekle reduction of SAR images in matlab using different custom-made filters: -Mean filter. -Frost filter. -Modified frost filter(added thresholds). -Lee filter(Using Masks, ENL ect). Note these fitlers are developed without the use of loops to make them faster.

Sentinel_1_python

Sentinel-1 SAR in Python. Work with Metadata, Download Images, Load image, Calibrate the images, Speckle Filter the images. In short: Work with Sentinel 1 with only python...

Deep_learning_anomaly_detection

Deep learning anomaly detection on spatio-temporal AIS data by combining a multi-headed self-attention structure with bidirectional long short term memory(BLSTM) into a Variational Autoencoder (VAE).

Electro-Optical-Sentinel-2-images

Sentinel-2 images are Multi-Spectral satellite images (Electro-optical). Here, utility functions and various index analyses are implemented.

ECNN-on-SAR-data-and-Radiometry-data

Deep learning for Synthetic Aperture Radar(SAR) and Radiometry data. An Ensemble Convolutional Neural Network workflow is implemented with data acquisition, processing, labelling, creating model, training model and launching a model

Jupyter Notebook

sar_ais_combine

mae_rfi

masked autoencoder tensorflow synthetic aperture radar

Deep-Quantile-Regression-Synthetic-Aperture-Radar-Ship-Size

Deep Quantile Regression Synthetic Aperture Radar Ship Size

Jupyter Notebook

Diffractive-grating-McXtrace

Developed reflective, diffractive grating for the McXtrace Library using a Monte Carlo approach. The grating can be used in either Blazed or Lamellar mode.

gge

Jupyter Notebook