MeijiYaboku

MeijiYaboku's Stars

• olivierhagolle/SMAC

  SMAC python code for atmospheric correction

  Language:Python207

• rohankalbag/kohonen-self-organising-map

  Course Project - Advanced Methods in Satellite Image Processing - Spring Semester 2023 - Indian Institute of Technology Bombay

  Language:Python1

• KonstantinosF/Flood-Detection---Satellite-Images

  This is a Semester Project which aim is to implement a Deep Learning model in order to detect Flood Events from Satellite Images

  Language:Jupyter Notebook2614

• usmanali414/Destruction-Detection-in-Satellite-Imagery

  Detection of destruction in satellite imagery

  Language:Python82

• aswintechguy/Deep-Learning-Projects

  This repository contains all the deep learning projects done as tutorial

  Language:Jupyter Notebook311247

• DIYer22/process_raw

  A python package to process raw and dng file, supporting demosaicing with gamma correction.

  Language:Python253

• prodramp/DeepWorks

  A collection of Deep Learning projects and resources

  Language:Jupyter Notebook285142

• KimutaiLawrence/Geospatial-Data-Science

  Geospatial Data Science

  Language:Jupyter Notebook127

• strath-ai/satellite-cloud-removal-dip

  Satellite cloud removal with Deep Image Prior.

  Language:Jupyter Notebook629

• GogulaK/Disaster-Impact-Prediction-using-Aerial-Satellite-Imagery

  Predict the impact of a disaster using aerial satellite imagery

  Language:Python72

• anchittandon/Disaster-prediction

  This project aims at predicting natural disasters using Machine Learning. This project was submitted as a part of Code.Fun.Do++ hackathon organised by Microsoft in 2018.

  Language:Jupyter Notebook309

• kunkoder/satellite-image-preprocessing

  Language:Jupyter Notebook2

• saimoom026/Satellite-image-preprocessing-classification-tensorflow

  Language:Jupyter Notebook3

• farhan1503001/Satelite-Image-Segmentation

  Repository containing necessary codes for satellite image preprocessing and running segmentation models

  Language:Jupyter Notebook31

• satellite-image-deep-learning/techniques

  Techniques for deep learning with satellite & aerial imagery

  8.5k1.4k

• JinyuanShao/Recognize-damaged-buildings

  A deep learning model for recognizing damaged buildings using pre- and post-disaster satellite images

  Language:Python4

• NicoDeshler/IBM-Disaster-Response-Hack

  Aid disaster response teams by identifying optimal terrestrial routes through calamity-stricken areas. Satellite image data informs road condition assessment and obstruction detection.

  Language:Jupyter Notebook4