• Stars
    star
    3
  • Rank 3,963,521 (Top 79 %)
  • Language
    Python
  • License
    Other
  • Created over 1 year ago
  • Updated over 1 year ago

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

More Repositories

1

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.
MATLAB
45
star
2

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...
Python
25
star
3

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).
Python
7
star
4

Electro-Optical-Sentinel-2-images

Sentinel-2 images are Multi-Spectral satellite images (Electro-optical). Here, utility functions and various index analyses are implemented.
Python
5
star
5

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
4
star
6

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

probabilistic maritime trajectory prediction in complex scenarios using deep learning
Python
3
star
7

mae_rfi

masked autoencoder tensorflow synthetic aperture radar
Python
2
star
8

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

Deep Quantile Regression Synthetic Aperture Radar Ship Size
Jupyter Notebook
1
star
9

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.
1
star
10

gge

Jupyter Notebook
1
star