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aalling93

advancedscientificcomputing

A short course on Julia and open-source software development

ais_processing

ais_processing

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.

dbms-in-python

Create databases, querying, update, delete, insert etc etc... using Python..

deep-learning-project-template

A best practice for deep learning project template architecture.

deep-learning-specialization-coursera

This repo contains the updated version of all the assignments/labs (done by me) of Deep Learning Specialization on Coursera by Andrew Ng. It includes building various deep learning models from scratch and implementing them for object detection, facial recognition, autonomous driving, neural machine translation, trigger word detection, etc.

deep-quantile-regression-synthetic-aperture-radar-ship-size

Deep Quantile Regression Synthetic Aperture Radar Ship Size

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).

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.

drone_em_dl

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

electro-optical-sentinel-2-images

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

gmm_hypespectral_images

Gausian Mixture Models applied on Hyperspectral Satellite images to automatically extract vegetation, the sea and cities

introduction-to-julia

Learn the language basics in this 10-part course.

julia_geospatial

Examples for a blog series on Geospatial Julia using ArchGDAL

juliaeo24

lecture-julia.notebooks

Download Notebooks for julia.quantecon.org

machine-learning-collection

A resource for learning about Machine learning & Deep Learning

mae_rfi

masked autoencoder tensorflow synthetic aperture radar

monochromator-in-mcxtrace

A simulation of a working monochromator in the Bloch Beamline at the MAX IV synchrotron in Lund, Sweden. The monochromator is a cPGN with the option of adding a NIM. The cPGM is implemented in McXtrace using C/Ruby.

my_site

notebooks

JuliaClimate Notebooks

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

probabilistic maritime trajectory prediction in complex scenarios using deep learning

s1_python

sar_ais_combine

sarprocessing.jl

satellite-imagery-datasets-containing-ships

A list of radar and optical satellite datasets for ship detection, classification, semantic segmentation and instance segmentation tasks.

sentinel1denoised

Thermal noise subtraction, scalloping correction, angular correction

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...